44 Commits

Author SHA1 Message Date
cd8339ecef Complete State Hub bootstrap workplans (WP-0001)
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- Review integration files; fill SCOPE where templated
- Document dev workflow in stack-and-commands.md
- Seed WP-0002 implementation workplan; mark bootstrap finished
- Hub sync via fix-consistency
2026-06-22 23:35:13 +02:00
f8ab58edbe chore(consistency): sync task status from DB [auto]
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Updated by fix-consistency on 2026-06-22:
  - update .custodian-brief.md for markitect-main
2026-06-22 23:32:31 +02:00
2b5e9743fe Add State Hub bootstrap workplan and agent integration files
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Seed workplans/ with bootstrap workplan to satisfy ADR-001 C-01.
Includes regenerated dev-hub session-protocol and agent instruction files.
2026-06-22 21:44:38 +02:00
753c3d4fc6 chore(consistency): sync task status from DB [auto]
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Updated by fix-consistency on 2026-06-22:
  - update .custodian-brief.md for markitect-main
2026-06-22 21:42:25 +02:00
94e84f0db9 chore(consistency): sync task status from DB [auto]
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Updated by fix-consistency on 2026-06-22:
  - update .custodian-brief.md for markitect-project
2026-06-22 21:40:39 +02:00
a765ccda21 chore(consistency): sync task status from DB [auto]
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Updated by fix-consistency on 2026-06-22:
  - update .custodian-brief.md for markitect-main
2026-06-22 21:40:31 +02:00
4472fa6c7f chore(consistency): sync task status from DB [auto]
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Updated by fix-consistency on 2026-06-22:
  - update .custodian-brief.md for markitect-main
2026-06-22 18:02:31 +02:00
526fa1e3bc Human-review .repo-classification.yaml (CUST-WP-0050 follow-up)
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2026-06-22 17:56:16 +02:00
86de18c247 Add .repo-classification.yaml (CUST-WP-0050 T11 agent first-pass) 2026-06-22 17:47:38 +02:00
ca9d0d7030 Add credential routing instructions for all agent runtimes
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Propagate shared credential-routing section (Codex, Claude, Grok, llm-connect)
from state-hub template via scripts/propagate_credential_routing.py.
2026-06-18 22:48:38 +02:00
bc527ec09a Add capability registry scaffold (REUSE-WP-0014-T05 B03)
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2026-06-16 01:54:12 +02:00
ce984482e2 assessment of forgotten functionality
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2026-05-23 06:44:38 +02:00
9266f124e6 Refresh agent instruction files
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2026-05-18 16:55:45 +02:00
8740a66611 chore(consistency): sync task status from DB [auto]
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Updated by fix-consistency on 2026-05-03:
  - update .custodian-brief.md for markitect-project
2026-05-03 19:31:36 +02:00
b7e9edbb4b chore(consistency): sync task status from DB [auto]
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Updated by fix-consistency on 2026-05-01:
  - update .custodian-brief.md for markitect-project
2026-05-01 23:07:28 +02:00
479fa95fdf Scope update from repo-scoping refactor
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2026-05-01 12:27:17 +02:00
eb9b622499 chore: gitignore Claude Code session lock files
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`.claude/scheduled_tasks.lock` is per-session runtime state (holds the
owning session id and pid for the ScheduleWakeup queue); it shouldn't
be committed. Widened the pattern to `.claude/*.lock` so future lock
kinds are covered too.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-22 21:50:20 +02:00
e3e5b8ecc1 feat(infospace): systematic long-text processing — rich commit bodies, per-source eval/classify, chapters view
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Three coordinated changes that let the pipeline produce a clean
chapter-by-chapter git history on long texts without archaeology after
the fact.

1. Richer commit messages. `SourcePipeline._git_commit` now diffs the
   staged changes, buckets added files by output subdirectory (entities,
   evaluations, classifications, mappings, analyses, metrics, logs), and
   includes counts in the commit body. So `git log` reads "entities:
   +23, evaluations: +23" per chapter instead of the same generic blurb
   on every commit. Zero behaviour change when no output changed; falls
   back to the original message if the diff query fails.

2. --eval-after-source / --classify-after-source on `infospace process`.
   After a source's stages succeed, the pipeline identifies which entity
   files are *new* (set diff of entity slugs before vs after), loads
   their EntityMeta, and runs per-entity evaluation and/or
   classification scoped to just those slugs before the per-source git
   commit lands. Result: each chapter's commit is self-contained —
   extraction + evaluation + classification in one atomic unit. Gated
   behind explicit flags because the cost is real (LLM latency per
   chapter rather than amortised across one bulk batch).

3. `markitect infospace chapters` subcommand. Lists source files in
   canonical order with entity count, evaluated count, classified
   count, and mean per-entity score per source. Text or JSON output.
   Natural triage surface for long-text infospaces — spot chapters that
   under-extracted or evaluated poorly.

Also: `docs/advanced-usage.md` gets a new "Systematic processing of
long texts" section with the recommended flag combo and the tradeoff
note on cost.

11 new unit tests cover the chapters command (text/json/no-sources),
the process flag wiring (help + provider requirement), and the
commit-body bucket logic. Full infospace+llm unit suite (315 tests)
green; 3 pre-existing infospace failures unchanged.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-22 08:24:26 +02:00
9e8d73fa7d docs(roadmap): close out infospace tooling S3 and parent roadmap
All three stages of the infospace tooling roadmap are complete. The Wealth
of Nations / VSM example passes 6/6 viability thresholds on 988 entities,
and composition is demonstrated via the supply-chain-vsm example.

- Parent roadmap (roadmap/infospace-tooling/PLAN.md): header now shows the
  closed status with final validation metrics.
- S3 close-out plan (roadmap/infospace-s3-closeout/PLAN.md): records the
  final task dispositions. C.1–C.6 and C.8 done; C.7 (clean per-chapter
  git history) is deferred indefinitely — the task was cosmetic, its
  prerequisite branch no longer exists, and reconstructing 35 archival
  commits would not change any output files. Rationale documented inline.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-22 07:08:43 +02:00
d44a4cd3df feat(infospace,llm): agent ergonomics — entity lookup, model fallback, better errors
- `markitect infospace entity <name>`: single-entity lookup tolerating
  hyphens/underscores/case, with substring matching, ambiguity listing,
  and near-match hints. Prints slug, source path, domain, chapter, word
  count, VSM system, overall score, evaluator, and evaluation file path.
- `markitect infospace evaluate --model-fallback <model>`: if any
  entities fail with a rate-limit error, retry just those with a fresh
  adapter on the fallback model (different free-tier models have
  separate quota buckets).
- `markitect llm-check`: advisory when `OPENROUTER_API_KEY` is set but
  not used by the resolved provider; targeted hint when OpenRouter
  returns 401 (almost always a stale env key).
- `build_state`: raises `TypeError` with actionable message if passed a
  path instead of an `InfospaceConfig` — prior failure mode was a
  confusing `AttributeError` deep in the stack.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-22 01:07:25 +02:00
c0615c2d50 feat(infospace,llm): stabilize free-tier eval workflow
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Five improvements that eliminate most of the agent-in-the-loop friction
observed while closing out the 988-entity WoN evaluation (C.1):

1. Gemini adapter now retries on 429 + 5xx with exponential backoff
   (same pattern already used by OpenRouter/OpenAI). Removes the need
   for shell-level retry wrappers when hitting free-tier rate limits.

2. evaluate CLI prints the underlying error ("ERROR — HTTP 503 …")
   instead of a bare "ERROR", so agents don't have to drop into Python
   to diagnose transient failures.

3. --entity/--chapter now respect existing evaluation files by default
   (previously only the full-collection pass did). New --force flag
   opts into re-evaluation. Stops silently burning free-tier quota on
   re-runs of the same slug.

4. --entity accepts hyphenated slugs (matching entity filenames) and
   normalizes them to the underscore form used on disk. On a miss the
   CLI suggests near matches instead of a bare "not found".

5. eval-summary --update-metrics is no longer destructive:
   read_metrics_file/write_metrics_file preserve structured values
   (type_distribution) and don't flatten ints to floats. Fixes a
   silent data loss observed on every run.

Bonus: the evaluator field in written evaluation frontmatter now
falls back from run_config.model_name to the adapter's resolved model
(or the model echoed back in the API response), so rows no longer
show `evaluator: null` when --model is omitted.

Tests: new tests/unit/llm/test_gemini.py covers retry behavior;
tests/unit/infospace/test_history.py gains a round-trip test that
pins the type_distribution / int-preservation invariants.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-22 00:51:00 +02:00
965508ec06 chore(consistency): sync task status from DB [auto]
Updated by fix-consistency on 2026-04-22:
  - update .custodian-brief.md for markitect-project
2026-04-22 00:28:46 +02:00
f325f89dc9 feat(infospace): evaluate 3 missing WoN entities (C.1)
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Fills the 988 entity / 985 evaluation gap in the Wealth of Nations
infospace. Entities advanced_state_of_society, bank_notes, and
bank_systemic_risk_management had no evaluation files; runs through
Gemini (2.5-flash / 2.5-flash-lite for the last one, which hit the
free-tier RPM limit) bring the eval count to 988.

per_entity_mean nudged from 3.955635 to 3.95668; viability still
6/6 PASS.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-21 23:52:04 +02:00
36a5136bdf docs(infospace): add advanced-usage, composition guide, and performance notes (C.4/C.5/C.6)
Closes out three docs tasks from roadmap/infospace-s3-closeout/PLAN.md:

- examples/infospace-with-history/docs/advanced-usage.md (C.4) — 5 worked
  patterns covering incremental eval, re-eval workflow (no --force flag
  exists; documents the rm-then-re-run pattern instead), interpreting the
  eval-summary distribution, triaging low scorers via an awk pipeline
  over overall_score (since `entities --sort-by score` does not exist),
  and acting on check --json output.
- docs/composition-guide.md (C.5) — walks through how supply-chain-vsm
  binds WoN as a discipline, then a step-by-step for creating a new
  infospace that binds an existing one. Includes live output from
  `markitect infospace disciplines`.
- examples/infospace-with-history/docs/performance-notes.md (C.6) — cites
  the 6h 28m wall time of the 985-entity S3.3 batch, ~2.5 ent/min rate,
  ~2000–3000 tokens/entity estimate, word_overlap vs embedding backend
  for redundancy checks, and a provider-by-scale recommendation table.

All commands in these docs were run against the live infospace at
commit time.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-21 07:02:46 +02:00
b7e11461f4 chore: rename markitect_project to markitect-main across project
Finishes the in-progress rename so docs, configs, tests, and capability
manifests all reference the current repo name consistently. Fixes two
tests (test_roundtrip_consolidated.py, test_issue_140_roundtrip_simplified.py)
whose hardcoded cwd paths would have broken under the renamed directory.

Archival content under history/, reports/, and roadmap/eat-the-frog/, plus
derived artifacts (.venv_old/, node_modules/, asset_registry.json) are
intentionally left untouched.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-21 01:57:35 +02:00
3966814868 updated SCOPE file
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2026-03-25 00:11:46 +01:00
f4610a46e3 docs: add SCOPE.md for rapid orientation
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Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-17 23:11:42 +01:00
0d95e6dbcf docs(claude): expand CLAUDE.md with commands and architecture
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Replaces the stub (State Hub integration only) with full dev commands,
module architecture overview, LLM config resolution chain, infospace
conventions, and active roadmap pointers. Removes CLAUDE.custodian.md
(superseded by the expanded CLAUDE.md).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-04 23:28:03 +01:00
36c20f37d0 feat(llm): extract adapter layer for standalone llm-connect package (S1+S2)
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Stage 1 — Decouple:
- Move RunConfig + LLMResponse to markitect/llm/models.py (canonical)
- Move LLMAdapter + Mock/ErrorLLMAdapter to markitect/llm/adapter.py
- markitect/prompts/execution/models.py and llm_adapter.py become re-export shims
- All 4 adapters + factory.py updated to import from markitect.llm.*
- Parameterize app_name in toml_config.py (resolve_llm, get_default_layers,
  get_preference_layers): paths and env var now derived from app_name arg
- Add tests/test_llm_isolation.py: 7 isolation + backward-compat tests

Stage 2 — Extract:
- Standalone llm-connect package created at ~/llm-connect/
- All 18 llm files copied; markitect.* imports replaced with llm_connect.*
- LLMError base inlined in llm_connect/exceptions.py (no markitect dep)
- llm-connect installed into markitect-venv; declared in pyproject.toml

Smoke test: markitect llm-check succeeds (live Gemini API call).
Backward compat: markitect.prompts.execution.{models,llm_adapter} still work.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 08:04:50 +01:00
72b87fd82e docs(roadmap): add workplans for infospace S3 close-out and JSUI publication
infospace-s3-closeout: 8 tasks (C.1-C.8) covering 3 missing evals,
viability sign-off, docs (advanced usage, composition, perf), deferred
git history cleanup, and formal roadmap closure.

testdrive-jsui-publication: 9 tasks (P.1-P.9) covering repo structure
decision, Markitect integration gate, pack/dry-run, npm publish, CDN
verify, fresh install test, GitHub release, and badges.

Both registered as workstreams in Custodian State Hub.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-26 00:44:05 +01:00
eaf4a955af docs(roadmap): add workplan for extracting llm module as shared library
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3-stage plan: decouple (RunConfig/LLMResponse move + app name
parameterization) → extract to standalone package → adopt in first
consumer. Registered as workstream in Custodian State Hub.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-24 21:51:54 +01:00
e9dc9a8517 docs(custodian): add session protocol CLAUDE.md for State Hub integration
Registers markitect as a tracked domain in the Custodian State Hub.
Includes topic ID, session start/end protocol, and MCP tool reference.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-24 21:42:41 +01:00
b055c8d7bb docs(example): close out INFRA-TASKS with summary and 4 follow-up items
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Adds a closing remark (23 Feb 2026) summarising the final state of the
infospace: 988 entities, 985 evaluations, 823 L2 classifications, 15 L3
relations, viability 6/6 PASS.

New open tasks 20–23:
  20. Complete L2 classification batch (165 entities blocked on credits)
  21. Run classify-links for 58 Relation-type entities
  22. Refresh stale metrics-report.md narrative
  23. Smoke-test the graph command end-to-end

Also committed: history.py fix — write_metrics_file now preserves
non-float metric values (type_distribution dict) instead of crashing
on round().

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 13:45:58 +01:00
ef3d47779e feat(infospace): add entity-relation graph export (Mermaid + DOT)
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New graph_export.py module supporting the `markitect infospace graph`
command added in the previous commit.

- build_entity_graph(): constructs node/edge graph from L2 classifications
  and L3 relation triplets, with feedback loop detection via networkx
- apply_filters(): subgraph filters by entity type, VSM system, ego
  neighbourhood, feedback-loops-only, and classified-only
- to_mermaid(): Mermaid flowchart export
  - Uses "-- label -->" syntax for all edges (robust with parentheses);
    "== label ==>" thick arrows for feedback loop edges
  - markdown_fence=True wraps output in ```mermaid block (VS Code / GitHub)
  - color_by="type" or "vsm" with distinct palettes for each
- to_dot(): Graphviz DOT export with fillcolor per type/VSM system

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 13:14:25 +01:00
d1f57272a4 feat(example): add L2 classifications for 823/988 WoN entities (S3.4)
Batch classification via OpenRouter (claude-sonnet-4). 165 entities
remain unclassified due to credit exhaustion; incremental skip means
a follow-up run will complete them automatically.

Type × VSM matrix (823 entities):
                  S1   S2   S3  S3*   S4   S5
  Element         86   75   58   21   43   32  (315 total, 38%)
  Process         39   42   37   17   67   24  (226 total, 28%)
  Institution      4   12   30   24    .   52  (122 total, 15%)
  Principle        3    7   15    2   43   32  (102 total, 12%)
  Relation         2   14    5    5   22   10   (58 total,  7%)
  Matrix fill: 29/30 cells (Institution/S4 empty — expected)

Metrics updated: type_entropy=2.0936, vsm_type_matrix_cells=29

Also:
- BatchEvaluator gains delay_seconds param for rate-limited providers
- classify CLI gains --rpm option (--rpm 10 for Gemini free tier)
- history.write_metrics_file now handles non-float metric values
  (type_distribution is a dict, was crashing round())
- run_entity_classification forwards delay_seconds to BatchEvaluator
- classify-links and graph commands added by user (entities --by-type,
  graph --format mermaid/dot, classify-links for Relation enrichment)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 12:49:11 +01:00
a9ca0adfcf feat(example): add per-entity LLM evaluations for 985 WoN entities (S3.3)
Batch evaluation of all 988 entities via OpenRouter. 984 succeeded on
first pass; 3 failed (network errors). eval-summary --update-metrics
written with per_entity_mean=3.9556.

Viability dashboard: 6/6 PASS
  redundancy_ratio   0.0061  (max 0.10)
  coverage_ratio     0.6190  (min 0.40)
  coherence_comps    0.0000  (max 3)
  consistency_cycles 0.0000  (max 0)
  granularity_entropy 2.6748 (min 1.0)
  per_entity_mean    3.9556  (min 3.5)

Dimension breakdown (mean across 985 entities):
  definition_precision  3.62
  source_grounding      4.36
  domain_placement      4.56
  vsm_relevance         3.31
  explanatory_value     3.94

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 09:36:46 +01:00
81a4c8796a feat(infospace): add L2 entity classification with type × VSM matrix (S2.9)
Implements the L2 typed-entities layer — each entity is assigned an
Entity Type (Element, Process, Relation, Principle, Institution) and a
VSM System (S1–S5) by an LLM, with one-sentence rationales for each.

New modules:
- markitect/infospace/classification.py — EntityClassification dataclass
  + ENTITY_TYPES / VSM_SYSTEMS controlled vocabularies
- markitect/infospace/classification_io.py — write/read classification
  files (YAML frontmatter + markdown body, mirrors evaluation_io)
- markitect/infospace/classifier.py — build_classification_prompt(),
  parse_classification_response(), run_entity_classification(); batch
  runner writes files incrementally (same resumable pattern as evaluate)

CLI: markitect infospace classify [--entity SLUG] [--provider P] [--model M]
  - Incremental skip: checks output/classifications/ for existing files
  - Defaults to openrouter provider; 2000 max_tokens (Gemini 2.5 Flash
    uses ~787 thinking tokens, so 800 was too low)

CLI: markitect infospace classify-summary [--update-metrics]
  - Entity type counts + VSM system counts with percentages
  - 5 × 6 type × VSM matrix (spots structural blind spots at a glance)
  - --update-metrics writes type_distribution, type_entropy,
    vsm_type_matrix_cells to metrics.yaml

Config: InfospaceConfig gains classifications_dir (default output/classifications)
Schema: schemas/typed-entity-schema-v1.0.md — type/VSM vocabulary tables,
  rationale format rules, validation rules, metrics enabled at L2
infospace.yaml: schemas.typed_entity references typed-entity-schema-v1.0.md

Seed classifications (3): division_of_labour (Process/S1),
  natural_price_as_central_price (Principle/S2),
  invisible_hand_mechanism (Principle/S4)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 09:35:58 +01:00
2d45425b25 feat(infospace): add L3 relation graph with VSM-aware triplets (S2.8)
Implements the L3 relation graph layer — a directed graph of (Subject,
Predicate, Object) triplets annotated with VSM channel codes and feedback
roles. Triplets are authored as markdown files under output/relations/,
parsed into RelationMeta dataclasses, and analysed with networkx.

New modules:
- markitect/infospace/relation_models.py — RelationMeta dataclass +
  RELATION_TYPES controlled vocabulary (15 relation classes → VSM codes)
- markitect/infospace/relation_parser.py — parse_relation_file() and
  parse_relations_directory()

New schema: examples/infospace-with-history/schemas/relation-schema-v1.0.md
  — file naming convention, required sections, controlled vocabulary table

15 seed relation files covering the three core WoN feedback loops:
  - Capital Accumulation loop (positive reinforcement, S1/S3)
  - Market Price Balancing loop (negative feedback, S2/S3)
  - Market Extent mutual dependency (S1/S2)
  Plus structural relations: wages regulation, rent residual, price
  decomposition, invisible hand coordination

CLI: markitect infospace relations [--entity SLUG] [--vsm FILTER]
     [--loops] [--stats]
  - Builds directed graph from parsed files
  - Detects feedback loops via nx.simple_cycles()
  - 6 loops found from 15 seed relations (3 intended + 3 emergent)
  - --stats aggregates by VSM system code (strips parentheticals)

Config: InfospaceConfig gains relations_dir (default output/relations)
infospace.yaml: schemas.relation references relation-schema-v1.0.md

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 06:04:28 +01:00
fa27572f43 fix(example): skip prompt writes when output exists, add quality rubrics
INFRA-TASKS #5 — process_chapters.py now skips writing *-prompt.md files
when the corresponding output file already exists on disk. DB-only rebuilds
no longer dirty the working tree with unchanged prompt content.

INFRA-TASKS #8 — Added '## Quality Metrics' section to the entity and VSM
mapping schemas, defining the five evaluation dimensions (Definition Precision,
Source Grounding, Domain Placement, VSM Relevance, Explanatory Value) with
1–5 rubrics used by the evaluate-entity template.

Also updated INFRA-TASKS.md to reflect current resolution status for tasks
4–19 across S2 and S3.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 06:04:09 +01:00
dfab3d598b feat(cli): add 'helper' alias for markitect helper command
markitect helper <QUESTION> now works as a short alias for
markitect llm-helper, per the original plan specification.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 05:40:11 +01:00
34ed7a6fab docs(tutorial): update §8-9 for eval-summary command and 6/6 viability
- Add eval-summary command documentation with dimension descriptions
- Document resumable evaluate (incremental skip on re-run)
- Fix --entity slug example to use underscores (not hyphens)
- Update viability output to show per_entity_mean as 6th threshold
- Add workflow note: check → eval-summary --update-metrics → viability

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 05:33:11 +01:00
7f1eecbdb2 feat(infospace): add eval-summary command and improve evaluate pipeline (S3.3)
- Fix evaluate dimensions to match template file:
  definition_precision, source_grounding, domain_placement,
  vsm_relevance, explanatory_value (was domain_relevance,
  discipline_alignment, conceptual_clarity)
- Add VSM background context to evaluation prompt so LLM can
  score vsm_relevance without macro injection
- Fix model_name bug: was sending literal "default" to API (HTTP 400)
- Refactor run_entity_evaluation to write files incrementally via
  callback rather than all at once after the batch — long runs are
  now resumable if interrupted
- Add incremental skip in CLI: entities with existing eval files
  are skipped automatically on re-run (acts as resume)
- Add eval-summary command: reads all eval files, shows per-dimension
  means, optionally writes per_entity_mean to metrics.yaml
- Fix record_check_results to merge rather than overwrite metrics.yaml
  so per_entity_mean survives subsequent check runs
- Add per_entity_mean viability threshold (min: 3.5) to infospace.yaml

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 01:26:45 +01:00
574bb11db6 feat(example): add supply-chain-vsm composition demo (S3.5)
Demonstrates infospace composition: the Wealth of Nations infospace is
used as a discipline, applying Smith's economic framework as a lens to
analyse modern supply chain management concepts.

New example: examples/supply-chain-vsm/
- infospace.yaml binding WoN as discipline (../infospace-with-history)
- 3 source documents: coordination mechanisms, capital & inventory,
  market structure (~400 words each, original content)
- supply-chain-entity-schema-v1.0.md with WoN Concept required section
- won-mapping-schema-v1.0.md with Conceptual Continuity rating
- artifacts/won-reference/core-entities.md — 12 curated WoN entities
  for injection as discipline context
- 8 hand-crafted entity files demonstrating LLM output format
- 3 mapping files with full rationale and VSM inheritance chains
- Viable: YES (5/5 thresholds)

Key mappings demonstrated:
  Demand Signal          → Effectual Demand        (Strong, S2)
  Vendor-Managed Inventory → Division of Labour    (Strong, S1/S2)
  Just-in-Time Inventory → Circulating Capital     (Strong, S1/S3)
  Bullwhip Effect        → Natural Price           (Moderate, S2)
  Platform Intermediary  → Merchant Capital        (Strong, S2/S4)
  Monopsony Power        → Combination of Masters  (Strong, S3*)

Platform fix: entity_parser.py now recognises ## Supply Chain Domain
as a domain alias for ## Economic Domain, enabling composed infospaces
to use their own domain section name.

Tutorial §13 rewritten with real commands, real output, and the full
mapping table from the demo.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 00:08:51 +01:00
8f00fa2018 docs(tutorial): update all commands to use markitect infospace CLI (S3.4)
Replace all process_chapters.py references throughout the tutorial with
the correct markitect infospace subcommands:

- §2  Project layout: remove process_chapters.py, add LAYERED-DEVELOPMENT.md
- §7  Processing: --chapter → process "glob", --book N → "book-N-*.md",
      --list → status/entities, --archive-entity → documented manual step
- §8  Check: remove incorrect --provider flag; note checks are deterministic
- §9  Viability: real output from full 988-entity corpus (Viable: YES)
- §10 History: real snapshot table; add --metric flag example
- §10 Git tracking: remove process_chapters.py from commit example
- §11 Cost: update openrouter/free example command
- §12 Completion: rewrite with actual observed metric progression table
- §14 Quality loop: update all commands; add archive-entity manual procedure
- §15 Artifact DB: --all without --provider = dry-run (no LLM calls)
- §16 Adapting: update step 6 and 7 to new CLI

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-22 23:31:38 +01:00
1940 changed files with 96743 additions and 530 deletions

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## Kaizen Agents
Specialized agent personas available on demand via the state-hub MCP.
**Discover:** `list_kaizen_agents()` — returns all agents with name, description, category
**Load:** `get_kaizen_agent("tdd-workflow")` — returns full instructions; read and follow them
Common agents:
| Agent | Category | When to use |
|-------|----------|-------------|
| `tdd-workflow` | testing | Step-by-step TDD8 workflow for any feature |
| `code-refactoring` | quality | Code quality analysis and safe refactoring |
| `test-maintenance` | testing | Diagnose and fix failing tests |
| `requirements-engineering` | process | Prevent interface/mock mismatches upfront |
| `keepaTodofile` | process | Maintain TODO.md during work |
| `project-management` | process | Track status, determine next steps |
| `datamodel-optimization` | quality | Optimize dataclasses and data structures |
All 17 agents: call `list_kaizen_agents()` for the full list.

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## Architecture
<!-- TODO: Describe the key design decisions and component structure.
Key modules, data flows, external integrations, state machines, etc. -->
## Quick Reference
`~/state-hub/mcp_server/TOOLS.md` — MCP tool reference

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# Credential and access routing
**Audience:** Codex, Claude Code, Grok, and custodian agents that call **llm-connect**
for inference. Run this check **before** requesting secrets, API keys, SSH access,
login tokens, or database passwords — in any repo, not only `ops-warden`.
ops-warden **issues SSH certificates only** (`warden sign`, `cert_command`). Every
other credential need belongs to another subsystem. **Do not** message
`ops-warden` on State Hub expecting a secret value; the reply is a pointer, not a key.
### Lookup (do this first)
```bash
warden route find "<describe your need>" --json
warden route show <catalog-id> --json
```
Requires the `warden` CLI from `~/ops-warden` (`uv tool install .` or `uv run warden`).
| Agent runtime | How to orient |
| --- | --- |
| **Codex / Grok** (shell, HTTP State Hub) | `warden route` commands above; inbox `to_agent=markitect-main` is for coordination, not secret vending |
| **Claude Code** (MCP when available) | `get_domain_summary("custodian")` for workstreams; **still** use `warden route` for credential ownership |
| **llm-connect** (inference service) | Never put secret retrieval in prompts; route custody to OpenBao/operator paths surfaced by `warden route` |
### Quick routing table
| I need… | Owner | ops-warden executes? |
| --- | --- | --- |
| SSH cert (`adm`/`agt`/`atm`) | ops-warden | **Yes**`warden sign` |
| API key, DB password, provider token | OpenBao (`railiance-platform`) | No — route only |
| Login / OIDC / MFA | key-cape / Keycloak | No — route only |
| Authorization decision | flex-auth | No — route only |
| activity-core → issue-core emission | activity-core + issue-core | No — `warden route show activity-core-issue-sink` |
| SSH tunnel | ops-bridge (+ `cert_command` from warden) | No — route only |
### Anti-patterns (do not do these)
- `POST /messages/` to `ops-warden` asking for `ISSUE_CORE_API_KEY`, `OPENROUTER_API_KEY`, etc.
- Inventing `warden secret`, `warden login`, `warden bao`, `warden tunnel` — they do not exist
- Pasting secrets into Git, State Hub, workplans, logs, or chat
### Other capabilities (reuse-surface)
Non-credential capabilities are usually discovered through **reuse-surface** federation
(`reuse-surface` registry / `capability.*` indexes). Credential routing is inlined in
every repo's agent instructions because it is high-frequency, high-risk, and easy to
get wrong.
**Canon:** `~/ops-warden/wiki/CredentialRouting.md` · catalog `~/ops-warden/registry/routing/catalog.yaml`

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## First Session Protocol
Triggered when `get_domain_summary("communication")` shows **no workstreams**.
The project is registered but work has not yet been structured.
**Step 1 — Read, don't write**
- `~/the-custodian/canon/projects/communication/project_charter_v0.1.md` — purpose, scope
- `~/the-custodian/canon/projects/communication/roadmap_v0.1.md` — planned phases
- Scan repo root: README, directory structure, existing code or docs
**Step 2 — Survey in-progress work**
Look for TODOs, open branches, half-finished files. Note done vs. started but incomplete.
**Step 3 — Propose workstreams to Bernd**
Propose 13 workstreams — each a coherent strand, weeks to months, anchored to a
roadmap phase. **Wait for approval before creating.**
**Step 4 — Create workplan file first, then DB record (ADR-001)**
```
workplans/MARKITECT-WP-NNNN-<slug>.md ← write this first
```
Then register in the hub:
```
create_workstream(topic_id="36c7421b-c537-4723-bf75-42a3ebc6a1dc", title="...", owner="...", description="...")
create_task(workstream_id="<id>", title="...", priority="high|medium|low")
```
**Step 5 — Record the setup**
```
add_progress_event(
summary="First session: structured communication into N workstreams, M tasks",
event_type="milestone",
topic_id="36c7421b-c537-4723-bf75-42a3ebc6a1dc",
detail={"workstreams": [...], "tasks_created": M}
)
```
<!-- Delete or archive this file once past first session -->

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## Repo boundary
This repo owns **Markitect Main** only. It does not own:
<!-- TODO: List what belongs in adjacent repos, e.g.:
- SSH key management → railiance-infra/
- State hub code → state-hub/
-->

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**Purpose:** Markitect Main - (fill in purpose)
**Domain:** communication
**Repo slug:** markitect-main
**Topic ID:** 36c7421b-c537-4723-bf75-42a3ebc6a1dc

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## Session Protocol
Dev Hub (State Hub API): http://127.0.0.1:8000
MCP server name in `~/.claude.json`: `dev-hub`
**Step 1 — Orient**
Read the offline-safe brief first — it works without a live hub connection:
```bash
cat .custodian-brief.md
```
Then call the MCP tool for richer cross-domain context when MCP tools are exposed:
```
get_domain_summary("communication")
```
If MCP tools are unavailable in the current agent session, use the REST API:
```bash
curl -s "http://127.0.0.1:8000/state/summary" | python3 -m json.tool
```
If the hub is offline: `cd ~/state-hub && make api`
**Step 2 — Check inbox**
With MCP tools:
```
get_messages(to_agent="markitect-main", unread_only=True)
```
Mark read with `mark_message_read(message_id)`. Reply or act on coordination
requests before proceeding.
Without MCP tools:
```bash
curl -s "http://127.0.0.1:8000/messages/?to_agent=markitect-main&unread_only=true" \
| python3 -m json.tool
curl -s -X PATCH "http://127.0.0.1:8000/messages/<id>/read" \
-H "Content-Type: application/json" -d '{}'
```
**Step 3 — Scan workplans**
```bash
ls workplans/
```
For each file with `status: ready`, `active`, or `blocked`, note pending
`wait`/`todo`/`progress` tasks.
**Step 4 — Present brief**
1. **Active workstreams** for `communication` — title, task counts, blocking decisions
2. **Pending tasks** from `workplans/` + any `[repo:markitect-main]` hub tasks
3. **Goal guidance** — if `goal_guidance` in summary:
- `needs_workplan`: surface as top action — *"Repo goal '{title}' has no workplan yet"*
- `alignment_warnings`: flag if active work is not aligned with current goal
4. **Suggested next action** — highest-priority open item
5. **SBOM status** — flag if `last_sbom_at` is unset for this repo
If no workstreams: follow First Session Protocol (`first-session.md`).
**During work:** `record_decision()` · `add_progress_event()` · `resolve_decision()`
> State Hub is a *read model*. Bootstrap tools (`create_workstream`, `create_task`)
> are First Session Protocol only. Work structure belongs in repo files (ADR-001).
**Session close:**
With MCP tools:
```
add_progress_event(summary="...", topic_id="36c7421b-c537-4723-bf75-42a3ebc6a1dc", workstream_id="<uuid>")
```
Without MCP tools:
```bash
curl -s -X POST http://127.0.0.1:8000/progress/ \
-H "Content-Type: application/json" \
-d '{"topic_id":"36c7421b-c537-4723-bf75-42a3ebc6a1dc","workstream_id":"<uuid>","event_type":"note","summary":"what changed","author":"codex"}'
```
If workplan files were modified, ensure the local copy is up to date first:
```bash
git -C <repo_path> pull --ff-only
cd ~/state-hub && make fix-consistency REPO=markitect-main
```
For repos where implementation runs on a remote machine (e.g. CoulombCore),
use the combined target which pulls before fixing:
```bash
cd ~/state-hub && make fix-consistency-remote REPO=markitect-main
```
**C-15** (DB task ahead of file) is normal in multi-machine workflows — writeback
will sync the file to match DB. **C-16** (repo behind remote) blocks all writes
until you pull — intentional to prevent clobbering remote progress.

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## Stack
- **Language:** Python 3.12+ (monorepo) + JavaScript UI (testdrive-jsui)
- **Key deps:** uv/pip, pytest, npm; see `pyproject.toml`, `package.json`, `Makefile`
## Dev Commands
```bash
make setup
make test
make test-js
make test-all
make lint
make build
make help
```

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## Workplan Convention (ADR-001)
File location: `workplans/MARKITECT-WP-NNNN-<slug>.md`
ID prefix: `MARKITECT-WP-`
Work items originate as files in this repo **before** being registered in the hub.
Canonical workplan/workstream frontmatter statuses are:
`proposed`, `ready`, `active`, `blocked`, `backlog`, `finished`, `archived`.
Use `proposed` for a newly drafted plan, `ready` after review against current
repo state, and `finished` when implementation is complete. `stalled` and
`needs_review` are derived health labels, not stored statuses.
Closed workplans may be moved to `workplans/archived/` with a completion-date
prefix: `YYMMDD-MARKITECT-WP-NNNN-<slug>.md`. The frontmatter id remains
unchanged; the prefix is only for quick visual reference.
Small opportunistic tasks discovered during another session use **Ad Hoc Tasks**:
`workplans/ADHOC-YYYY-MM-DD.md`, workstream slug `adhoc-YYYY-MM-DD`, and task ids
`ADHOC-YYYY-MM-DD-T01`, `T02`, etc. Use adhocs only for low-risk work completed
directly. Promote anything requiring analysis, design, approval, dependencies, or
multiple planned phases into a normal workplan.
Ecosystem todos from other agents arrive as `[repo:markitect-main]` hub tasks —
visible at session start. Pick one up by creating the workplan file, then registering
the workstream.
Task blocks use this shape:
```task
id: MARKITECT-WP-NNNN-T01
status: wait | todo | progress | done | cancel
priority: high | medium | low
state_hub_task_id: "<uuid>" # written by fix-consistency — do not edit
```
Status progression is `todo``progress``done`; use `wait` for waiting or
blocked work and `cancel` for stopped work.
<!-- Ralph Loop rules and HEUREKA sequence: ~/.claude/CLAUDE.md — do not duplicate here -->

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@@ -10,7 +10,7 @@ principles with strict separation of concerns.
## Directory Structure & Clean Architecture
```
markitect_project/
markitect-main/
├── domain/ # Business logic (innermost layer)
├── application/ # Use cases and workflows
├── infrastructure/ # External interfaces (database, file system)

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<!-- custodian-brief: generated by fix-consistency — do not edit manually -->
# Custodian Brief — markitect-main
**Domain:** communication
**Last synced:** 2026-06-22 21:32 UTC
**State Hub:** http://127.0.0.1:8000 *(adjust if running on a remote machine)*
## Active Workstreams
*(none — repo may need first-session setup)*
---
## MCP Orientation (when available)
If the state-hub MCP server is reachable, call:
`get_domain_summary("communication")`
This provides richer cross-domain context.
If the MCP call fails, use this file as your orientation source.

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@@ -91,6 +91,8 @@ debug_*.py
# Claude Code local settings (user-specific permissions)
.claude/settings.local.json
# Claude Code runtime session locks (per-session, not content)
.claude/*.lock
.aider*

2
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[submodule "wiki"]
path = wiki
url = http://92.205.130.254:32166/coulomb/markitect_project.wiki.git
url = http://92.205.130.254:32166/coulomb/markitect-main.wiki.git
branch = main
[submodule "capabilities/kaizen-agentic"]
path = capabilities/kaizen-agentic

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repo_classification:
standard: Repo Classification Standard
version: '1.0'
classified_at: '2026-06-22'
classified_by: human
category: product
domain: communication
secondary_domains:
- infotech
- agents
capability_tags:
- knowledge
- documentation
- product-development
- platform
business_stake:
- product
- technology
- execution
business_mechanics:
- intention
- coordination
- operation
- adaptation
notes: Markitect successor to archived markitect-project; human confirmed.

219
AGENTS.md Normal file
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@@ -0,0 +1,219 @@
# Markitect Main — Agent Instructions
## Repo Identity
**Purpose:** Markitect Main - (fill in purpose)
**Domain:** communication
**Repo slug:** markitect-main
**Topic ID:** `36c7421b-c537-4723-bf75-42a3ebc6a1dc`
**Workplan prefix:** `MARKITECT-WP-`
---
## State Hub Integration
The Custodian State Hub tracks work across all domains. Interact via HTTP REST —
there is no MCP server for Codex agents.
| Context | URL |
|---------|-----|
| Local workstation | `http://127.0.0.1:8000` |
| Remote via tunnel | `http://127.0.0.1:18000` |
### Orient at session start
```bash
# Offline brief — works without hub connection
cat .custodian-brief.md
# Active workstreams for this domain
curl -s "http://127.0.0.1:8000/workstreams/?topic_id=36c7421b-c537-4723-bf75-42a3ebc6a1dc&status=active" \
| python3 -m json.tool
# Check inbox
curl -s "http://127.0.0.1:8000/messages/?to_agent=markitect-main&unread_only=true" \
| python3 -m json.tool
```
Mark a message read:
```bash
curl -s -X PATCH "http://127.0.0.1:8000/messages/<id>/read" \
-H "Content-Type: application/json" -d '{}'
```
### Log progress (required at session close)
```bash
curl -s -X POST http://127.0.0.1:8000/progress/ \
-H "Content-Type: application/json" \
-d '{
"summary": "what was done",
"event_type": "note",
"author": "codex",
"workstream_id": "<uuid>",
"task_id": "<uuid>"
}'
```
Omit `workstream_id` / `task_id` when not applicable.
### Update task status
```bash
curl -s -X PATCH "http://127.0.0.1:8000/tasks/<task_id>" \
-H "Content-Type: application/json" \
-d '{"status": "progress"}'
# values: wait | todo | progress | done | cancel
```
### Flag a task for human review
```bash
curl -s -X PATCH "http://127.0.0.1:8000/tasks/<task_id>" \
-H "Content-Type: application/json" \
-d '{"needs_human": true, "intervention_note": "reason"}'
```
---
## Session Protocol
**Start:**
1. `cat .custodian-brief.md` — domain goal and open workstreams (offline-safe)
2. Check inbox: `GET /messages/?to_agent=markitect-main&unread_only=true`; mark read
3. Scan workplans: `ls workplans/` — note `status: ready`, `active`, or `blocked` files and open tasks
4. Check human-needed tasks: `GET /tasks/?needs_human=true`
**During work:**
- Update task statuses in workplan files as tasks progress
- Record significant decisions via `POST /decisions/`
**Close:**
1. Update workplan file task statuses to reflect progress
2. Log: `POST /progress/` with a summary of what changed
3. Note for the custodian operator: after workplan file changes, run from
`~/state-hub`:
```bash
make fix-consistency REPO=markitect-main
```
This syncs task status from files into the hub DB.
---
## Credential and access routing
**Audience:** Codex, Claude Code, Grok, and custodian agents that call **llm-connect**
for inference. Run this check **before** requesting secrets, API keys, SSH access,
login tokens, or database passwords — in any repo, not only `ops-warden`.
ops-warden **issues SSH certificates only** (`warden sign`, `cert_command`). Every
other credential need belongs to another subsystem. **Do not** message
`ops-warden` on State Hub expecting a secret value; the reply is a pointer, not a key.
### Lookup (do this first)
```bash
warden route find "<describe your need>" --json
warden route show <catalog-id> --json
```
Requires the `warden` CLI from `~/ops-warden` (`uv tool install .` or `uv run warden`).
| Agent runtime | How to orient |
| --- | --- |
| **Codex / Grok** (shell, HTTP State Hub) | `warden route` commands above; inbox `to_agent=markitect-main` is for coordination, not secret vending |
| **Claude Code** (MCP when available) | `get_domain_summary("custodian")` for workstreams; **still** use `warden route` for credential ownership |
| **llm-connect** (inference service) | Never put secret retrieval in prompts; route custody to OpenBao/operator paths surfaced by `warden route` |
### Quick routing table
| I need… | Owner | ops-warden executes? |
| --- | --- | --- |
| SSH cert (`adm`/`agt`/`atm`) | ops-warden | **Yes** — `warden sign` |
| API key, DB password, provider token | OpenBao (`railiance-platform`) | No — route only |
| Login / OIDC / MFA | key-cape / Keycloak | No — route only |
| Authorization decision | flex-auth | No — route only |
| activity-core → issue-core emission | activity-core + issue-core | No — `warden route show activity-core-issue-sink` |
| SSH tunnel | ops-bridge (+ `cert_command` from warden) | No — route only |
### Anti-patterns (do not do these)
- `POST /messages/` to `ops-warden` asking for `ISSUE_CORE_API_KEY`, `OPENROUTER_API_KEY`, etc.
- Inventing `warden secret`, `warden login`, `warden bao`, `warden tunnel` — they do not exist
- Pasting secrets into Git, State Hub, workplans, logs, or chat
### Other capabilities (reuse-surface)
Non-credential capabilities are usually discovered through **reuse-surface** federation
(`reuse-surface` registry / `capability.*` indexes). Credential routing is inlined in
every repo's agent instructions because it is high-frequency, high-risk, and easy to
get wrong.
**Canon:** `~/ops-warden/wiki/CredentialRouting.md` · catalog `~/ops-warden/registry/routing/catalog.yaml`
<!-- REPO-AGENTS-EXTENSIONS -->
<!-- Append repo-specific agent instructions below this marker.
The state-hub template sync preserves content after this line. -->
---
## Workplan Convention (ADR-001)
Work items originate as files in this repo — not in the hub. The hub is a
read/cache/index layer that rebuilds from files.
**File location:** `workplans/MARKITECT-WP-NNNN-<slug>.md`
**Archived location:** finished workplans may move to
`workplans/archived/YYMMDD-MARKITECT-WP-NNNN-<slug>.md`. The `YYMMDD` prefix is
the completion/archive date; the frontmatter `id` does not change.
**Ad Hoc Tasks:** small opportunistic fixes discovered during a session use
`workplans/ADHOC-YYYY-MM-DD.md` with task ids `ADHOC-YYYY-MM-DD-T01`, etc. Use
this only for low-risk work completed directly; create a normal workplan for
anything needing analysis, design, approval, dependencies, or multiple phases.
**Frontmatter:**
```yaml
---
id: MARKITECT-WP-NNNN
type: workplan
title: "..."
domain: communication
repo: markitect-main
status: proposed | ready | active | blocked | backlog | finished | archived
owner: codex
topic_slug: ...
created: "YYYY-MM-DD"
updated: "YYYY-MM-DD"
state_hub_workstream_id: "<uuid>" # written by fix-consistency — do not edit
---
```
Use `proposed` for a new draft, `ready` after review against current repo
state, and `finished` after implementation. `stalled` and `needs_review` are
derived health labels, not frontmatter statuses.
**Task block format** (one per `##` section):
```
## Task Title
` ` `task
id: MARKITECT-WP-NNNN-T01
status: wait | todo | progress | done | cancel
priority: high | medium | low
state_hub_task_id: "<uuid>" # written by fix-consistency — do not edit
` ` `
Task description text.
```
Status progression: `todo` → `progress` → `done`; use `wait` for waiting/blocked work and `cancel` for stopped work.
To create a new workplan:
1. Write the file following the format above
2. Notify the custodian operator to run `make fix-consistency REPO=markitect-main`
(or send a message to the hub agent via `POST /messages/`)

12
CLAUDE.md Normal file
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@@ -0,0 +1,12 @@
# Markitect Main — Claude Code Instructions
@SCOPE.md
@.claude/rules/repo-identity.md
@.claude/rules/session-protocol.md
@.claude/rules/first-session.md
@.claude/rules/workplan-convention.md
@.claude/rules/stack-and-commands.md
@.claude/rules/architecture.md
@.claude/rules/repo-boundary.md
@.claude/rules/credential-routing.md
@.claude/rules/agents.md

View File

@@ -457,7 +457,7 @@ Sister projects can reuse these capabilities directly:
Install capabilities via local file references:
```toml
[project.dependencies]
release-management = {path = "../markitect_project/capabilities/release-management"}
release-management = {path = "../markitect-main/capabilities/release-management"}
```
### Shared Infrastructure

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SCOPE.md Normal file
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@@ -0,0 +1,129 @@
# SCOPE
> This file helps you quickly understand what this repository is about,
> when it is relevant, and when it is not.
> It is intentionally lightweight and may be incomplete.
---
## One-liner
Intelligent markdown engine and information management platform — treats documents as structured, queryable information spaces with schema validation, transclusion, LLM-driven evaluation, and infospace lifecycle management.
---
## Core Idea
MarkiTect turns fragmented knowledge (scattered docs, chats, notes) into structured, versioned, reusable artifacts. The core abstraction is an **infospace**: a curated collection of typed entities (concepts, mechanisms, observations) governed by a YAML config, validated against schemas, and evaluated for quality across five dimensions. The platform automates generation, validation, and transformation at scale, delegating domain-level judgment to LLMs while Python handles structure and evaluation.
---
## In Scope
- Parse, validate, and analyze markdown documents against schemas
- Generate schemas from example documents; enforce naming convention `{domain}-schema-v{major}.{minor}.md`
- Infospace lifecycle: create, populate, evaluate (per-entity + collection quality scores), compose, export
- Transclusion: embed content from one document into another, maintaining single source of truth
- LLM-driven prompt execution with dependency resolution and quality gates
- Relationship graph export (Mermaid, DOT) and analysis (networkx, FCA)
- Batch document processing; CLI (`markitect <command>`) and programmatic API
- Rendering: markdown → interactive HTML via plugin system (testdrive-jsui)
- Asset management (image embedding, resource handling)
---
## Out of Scope
- Visual/WYSIWYG editing (markdown-first, text-based workflows only)
- Real-time collaborative editing (git-based versioning instead)
- Financial transactions or external payment integration
- Making domain-level judgments in Python code (delegated to LLM via prompt templates)
- Storing secrets or credentials in plaintext
- Full GraphQL API (structure exists but not fully implemented)
- Vendor-specific integrations or lock-in
---
## Relevant When
- Managing large document sets (hundreds to thousands) needing consistent structure and validation
- Building or maintaining institutional knowledge bases, technical documentation, or canon releases
- Automating document generation from schemas or templates
- Tracking relationships and dependencies between knowledge artifacts
- Needing programmatic access to document structure (beyond file reading)
- Applying quality evaluation to a structured concept collection
---
## Not Relevant When
- Working with a handful of simple, unrelated documents
- Visual editor required
- Exclusively non-markdown source formats (PDF/Word need conversion first)
- No consistency, validation, or automation needed
---
## Current State
- Status: active (v0.13.0-dev, ~90 commits ahead of release)
- Implementation: substantial — core modules mature (CLI, parsing, schema management, prompt execution, infospace); infospace S3 close-out in progress; LLM adapter extracted to standalone `llm-connect` package
- Stability: stable core; plugin system and infospace tooling evolving; 200+ CHANGELOG entries since v0.6.0
- Usage: active personal development; examples with 988 entities and full evaluation pipeline
---
## How It Fits
- Upstream dependencies: `llm-connect` (LLM adapter library, extracted), `testdrive-jsui` (rendering plugin submodule), `markitect-utils` (utility library)
- Downstream consumers: Custodian — MarkiTect is the knowledge artifact platform in the canonical dependency order (Railiance → **Markitect** → Coulomb.social → Personhood/Foerster → Custodian)
- Often used with: the-custodian (state hub tracks markitect domain workstreams), kaizen-agentic (project-management agent for session workflow)
---
## Terminology
- Preferred terms: infospace, topic, discipline, entity, evaluation, viability, transclusion, schema, quality gates
- Also known as: "markitect", "the markdown engine"
- Potentially confusing terms: "topic" = the subject matter an infospace explains (not a chat thread); "discipline" = a reusable framework of concepts (itself a viable infospace); "infospace" ≠ filesystem directory (it's a curated conceptual collection with explicit quality thresholds)
---
## Related / Overlapping
- `llm-connect` — standalone LLM adapter extracted from MarkiTect (dependency)
- `the-custodian` — tracks markitect workstreams; custodian canon includes a markitect domain charter
- `marki-docx` — separate repo (on tegwick machine); relationship: docx export capability for MarkiTect artifacts
---
## Provided Capabilities
```capability
type: documentation
title: Structured document validation and schema management
description: Parse, validate, and enforce schemas on markdown documents — generate schemas from examples, validate entity collections, report naming convention compliance.
keywords: [markdown, schema, validation, document, structure, linting]
```
```capability
type: documentation
title: Infospace lifecycle management
description: Create, populate, evaluate (quality scores), compose, and export curated knowledge collections (infospaces) with transclusion and relationship graph analysis.
keywords: [infospace, knowledge, curation, evaluation, transclusion, quality, graph]
```
```capability
type: data
title: LLM-driven knowledge artifact generation
description: Execute prompts with dependency resolution and quality gates to generate typed entities — concepts, mechanisms, observations — at scale from schemas and templates.
keywords: [llm, generation, prompt, entity, artifact, knowledge, automation]
```
---
## Getting Oriented
- Start with: `CLAUDE.md` (dev commands, LLM config, infospace lifecycle), `INTRODUCTION.md` (use cases, philosophy)
- Key files / directories: `markitect/cli.py` (CLI entry point), `markitect/infospace/` (primary active area), `markitect/prompts/` (LLM execution), `roadmap/` (6 active planning tracks), `examples/infospace-with-history/` (988-entity reference implementation)
- Entry points: `markitect --help`; `markitect infospace --help`; `pytest tests/unit/` (inner TDD loop)

View File

@@ -15,7 +15,7 @@ You are responsible for:
### Directory Structure
```
markitect_project/
markitect-main/
├── Makefile # Main project Makefile
├── scripts/
│ └── capability_discovery.mk # Auto-discovery and delegation system

View File

@@ -7,7 +7,7 @@ detachment:
capability_name: issue-facade
capability_family: issue-tracking
integration_pattern: capabilities-directory
original_location: /home/worsch/markitect_project/capabilities/issue-facade
original_location: /home/worsch/markitect-main/capabilities/issue-facade
capability_metadata:
spec_file: CAPABILITY-issue-tracking.yaml
@@ -17,23 +17,23 @@ capability_metadata:
integration_details:
parent_project: capabilities
parent_path: /home/worsch/markitect_project/capabilities
parent_path: /home/worsch/markitect-main/capabilities
re_integration_guide: |
To re-integrate this capability using the new architecture:
# Option 1: Git submodule (recommended)
cd /home/worsch/markitect_project/capabilities
cd /home/worsch/markitect-main/capabilities
git submodule add <repo-url> _issue-facade
pip install -e _issue-facade/
# Option 2: Clone directly
cd /home/worsch/markitect_project/capabilities
cd /home/worsch/markitect-main/capabilities
git clone <repo-url> _issue-facade
pip install -e _issue-facade/
# Option 3: Copy into project
cd /home/worsch/markitect_project/capabilities
cd /home/worsch/markitect-main/capabilities
cp -r /path/to/issue-facade _issue-facade
pip install -e _issue-facade/

View File

@@ -8,7 +8,7 @@ This test module validates outline mode schema generation improvements including
- Content instruction integration
- End-to-end workflow from example document to generated drafts
Created for Issue #46: https://gitea.coulomb.social/coulomb/markitect_project/issues/46
Created for Issue #46: https://gitea.coulomb.social/coulomb/markitect-main/issues/46
"""
import pytest

View File

@@ -209,7 +209,7 @@ tests/
## 🎯 Detailed File Structure After Migration
```
markitect_project/
markitect-main/
├── capabilities/
│ └── release-management/
│ ├── README.md ✅ CREATED

View File

@@ -162,7 +162,7 @@ clean_before_build = true
[tool.release-management.registries.gitea]
url = "http://92.205.130.254:32166"
owner = "coulomb"
repo = "markitect_project"
repo = "markitect-main"
auth_token_env = "GITEA_API_TOKEN"
[tool.release-management.registries.pypi]

View File

@@ -141,7 +141,7 @@ make release-publish VERSION=0.8.0
## Registry Information
- **Gitea URL**: http://92.205.130.254:32166
- **Repository**: coulomb/markitect_project
- **Repository**: coulomb/markitect-main
- **PyPI Registry URL**: http://92.205.130.254:32166/api/packages/coulomb/pypi
- **Package List URL**: http://92.205.130.254:32166/api/v1/packages/coulomb

View File

@@ -8,7 +8,7 @@
```bash
# ❌ WRONG - Don't edit capability files from main repo
cd /home/worsch/markitect_project/capabilities/testdrive-jsui
cd /home/worsch/markitect-main/capabilities/testdrive-jsui
vim src/testdrive_jsui/core.py # DON'T DO THIS!
# ✅ CORRECT - Use separate Claude instance/session
@@ -29,7 +29,7 @@ cd /path/to/work/testdrive-jsui
| Session | Purpose | Location |
|---------|---------|----------|
| **Main Repo** | Integration, configuration | `/home/worsch/markitect_project` |
| **Main Repo** | Integration, configuration | `/home/worsch/markitect-main` |
| **Capability** | Feature development, bugs | Separate clone or `capabilities/capability-name` |
**Why?** Prevents accidental cross-contamination and respects repository boundaries.
@@ -40,7 +40,7 @@ cd /path/to/work/testdrive-jsui
```bash
# After pushing changes to capability repo
cd /home/worsch/markitect_project
cd /home/worsch/markitect-main
git submodule update --remote capabilities/testdrive-jsui
git add capabilities/testdrive-jsui
git commit -m "chore: update testdrive-jsui to latest"
@@ -50,7 +50,7 @@ git push
### Add New Capability
```bash
cd /home/worsch/markitect_project
cd /home/worsch/markitect-main
# Add as submodule
git submodule add http://gitea/coulomb/new-capability.git capabilities/new-capability
@@ -67,7 +67,7 @@ git commit -m "feat: add new-capability submodule"
```bash
# Option 1: In submodule directory (careful!)
cd /home/worsch/markitect_project/capabilities/testdrive-jsui
cd /home/worsch/markitect-main/capabilities/testdrive-jsui
git checkout -b feature-branch
# make changes
git commit -m "feat: new feature"
@@ -86,7 +86,7 @@ git push origin feature-branch
### Check Capability Status
```bash
cd /home/worsch/markitect_project
cd /home/worsch/markitect-main
# List all capabilities
make capabilities-list

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@@ -9,7 +9,7 @@ MarkiTect is a markdown processing toolkit with transclusion, schema validation,
## Current Directory Structure
```
markitect_project/
markitect-main/
├── markitect/ # Main package
│ ├── [34 root-level .py files] # Core functionality (see below)
│ ├── assets/ # Asset discovery, management, caching (21 files)

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@@ -8,7 +8,7 @@ MarkiTect uses a **capabilities-based architecture** where functionality is orga
### 1. **Separation of Concerns**
**Critical Rule:** The main repository (`markitect_project`) **MUST NOT** directly modify capability code.
**Critical Rule:** The main repository (`markitect-main`) **MUST NOT** directly modify capability code.
-**DO**: Use capabilities as dependencies
-**DO**: Configure capabilities through documented interfaces
@@ -28,7 +28,7 @@ MarkiTect uses a **capabilities-based architecture** where functionality is orga
Capabilities are integrated as **git submodules**, not regular directories:
```
markitect_project/
markitect-main/
├── .gitmodules # Submodule configuration
├── capabilities/
│ ├── testdrive-jsui/ # Git submodule → separate repo
@@ -80,8 +80,8 @@ engine.render_document(content, mode='edit', config=config)
#### Main Repository Session
```bash
# In markitect_project/
cd /home/worsch/markitect_project
# In markitect-main/
cd /home/worsch/markitect-main
# Main repo tasks:
# - Integrate capabilities
@@ -93,7 +93,7 @@ cd /home/worsch/markitect_project
#### Capability Session
```bash
# In capability repository
cd /home/worsch/markitect_project/capabilities/testdrive-jsui
cd /home/worsch/markitect-main/capabilities/testdrive-jsui
# OR clone separately
git clone http://gitea/coulomb/testdrive-jsui.git
@@ -122,7 +122,7 @@ cd testdrive-jsui
2. **Update main project** (different Claude instance)
```bash
cd /home/worsch/markitect_project
cd /home/worsch/markitect-main
git submodule update --remote capabilities/testdrive-jsui
git commit -m "chore: update testdrive-jsui submodule"
```
@@ -139,7 +139,7 @@ When a capability releases a new version:
```bash
# In main repo
cd /home/worsch/markitect_project
cd /home/worsch/markitect-main
# Update specific capability
cd capabilities/testdrive-jsui
@@ -160,7 +160,7 @@ git commit -am "chore: update all capabilities"
# http://gitea/coulomb/new-capability
# 2. Add as submodule to main repo
cd /home/worsch/markitect_project
cd /home/worsch/markitect-main
git submodule add http://gitea/coulomb/new-capability.git capabilities/new-capability
# 3. Add dependency to pyproject.toml
@@ -324,7 +324,7 @@ def test_testdrive_jsui_integration():
1. **Create separate git repo**
```bash
cd /tmp
cp -r markitect_project/capabilities/capability-name capability-name
cp -r markitect-main/capabilities/capability-name capability-name
cd capability-name
git init
git add .
@@ -335,7 +335,7 @@ def test_testdrive_jsui_integration():
2. **Remove from main repo**
```bash
cd markitect_project
cd markitect-main
git rm -rf capabilities/capability-name
git commit -m "chore: remove capability-name for submodule conversion"
```

203
docs/composition-guide.md Normal file
View File

@@ -0,0 +1,203 @@
# Infospace Composition Guide
One completed, viable infospace can be reused as a **discipline** for
another infospace — a lens applied to a different topic. This guide
explains how composition works and walks through the live
`examples/supply-chain-vsm/` reference.
---
## What composition means
An **infospace** is a directory of typed entities governed by
`infospace.yaml`. Its entities and relations describe a specific topic
(for example, Adam Smith's *Wealth of Nations*).
A **discipline** is an infospace declared as a reusable analytical
framework by another infospace. When infospace B binds infospace A as a
discipline:
1. B's entities can reference A's entities in `## WoN Concept` (or
equivalent) sections.
2. Properties A has already computed on its entities — such as VSM system
placement — become available to B by transitivity through the mapping.
3. B can impose its own viability thresholds independently of A's. The two
infospaces each pass or fail viability on their own terms.
The binding is declarative: a relative path in `infospace.yaml` plus a
display name. No code. No import. The discipline is looked up on disk at
the declared path when B's commands run.
---
## The viability pre-condition
Binding a non-viable infospace as a discipline is a mistake: a framework
that fails its own thresholds is not a stable reference frame. Before
binding, confirm the candidate discipline is viable:
```bash
cd examples/infospace-with-history
markitect infospace viability
```
```
Metric Value Threshold Status
---------------------------------------------------------------
redundancy_ratio 0.0061 max=0.1 PASS
coverage_ratio 0.6190 min=0.4 PASS
coherence_components 0.0000 max=3 PASS
consistency_cycles 0.0000 max=0 PASS
granularity_entropy 2.6748 min=1.0 PASS
per_entity_mean 3.9556 min=3.5 PASS
Viable: YES (6/6 thresholds met)
```
If the discipline is not viable, fix it first (see
`examples/infospace-with-history/docs/advanced-usage.md` §4 for triaging
low scorers).
---
## Example — how `supply-chain-vsm` binds WoN
The supply-chain infospace declares WoN as a discipline in its
`infospace.yaml`:
```yaml
topic:
name: "Modern Supply Chain Management"
domain: "Operations Management"
sources: artifacts/sources/
disciplines:
- name: "Wealth of Nations"
path: ../infospace-with-history
```
The binding is a **relative path**, so the two infospaces travel together
(they can be moved as a pair without breaking the link).
Verify the binding resolves and the discipline is viable:
```bash
cd examples/supply-chain-vsm
markitect infospace disciplines
```
```
Name Entities Viable Path
----------------------------------------------------------------------
Wealth of Nations 988 YES ../infospace-with-history
```
Each supply-chain entity then carries a `## WoN Concept` section
mapping it to exactly one WoN entity. The consolidated mapping files
(`output/mappings/*-mappings.md`) record the pairing, rationale, and a
conceptual-continuity rating (Strong / Moderate / Weak):
| Supply Chain Entity | WoN Concept | Strength | VSM |
|------------------------------|----------------------------------|----------|-------|
| Demand Signal | Effectual Demand | Strong | S2 |
| Vendor-Managed Inventory | Division of Labour | Strong | S1/S2 |
| Just-in-Time Inventory | Circulating Capital | Strong | S1/S3 |
| Bullwhip Effect | Natural Price as Central Price | Moderate | S2 |
| Safety Stock | Accumulation of Stock | Moderate | S3 |
Because each WoN entity already has a VSM system placement (S1S5), the
supply-chain entities inherit a VSM position by transitivity through
their mapping — without supply-chain-vsm needing its own VSM reference.
---
## Creating a new infospace that binds an existing one
Step-by-step, using WoN as the discipline for a hypothetical "Modern
Monetary Policy" infospace:
### 1. Start from the target topic
```bash
mkdir -p examples/monetary-policy/artifacts/sources
cd examples/monetary-policy
markitect infospace init
```
### 2. Declare the discipline in `infospace.yaml`
```yaml
topic:
name: "Modern Monetary Policy"
domain: "Macroeconomics"
sources: artifacts/sources/
disciplines:
- name: "Wealth of Nations"
path: ../infospace-with-history
```
Alternatively, bind imperatively after `init`:
```bash
markitect infospace bind-discipline ../infospace-with-history --name "Wealth of Nations"
```
### 3. Set your own viability thresholds
Copy the `viability:` block from a reference infospace and tune the
numbers to the scale and maturity of your topic. A smaller infospace
(50 entities, not 988) may need laxer `coverage_ratio` and stricter
`redundancy_ratio`.
### 4. Verify the binding
```bash
markitect infospace disciplines
```
If `Viable` is `NO`, stop and fix the discipline before continuing.
### 5. Reference discipline entities in your own entities
For each entity in the new infospace, add a `## <Discipline> Concept`
section that names the WoN entity the concept maps to, plus a rationale.
The exact section heading is configured per schema — see
`schemas/won-mapping-schema-v1.0.md` in `supply-chain-vsm` for the
template used there.
### 6. Run checks and evaluate
```bash
markitect infospace check
markitect infospace evaluate --provider openrouter
markitect infospace eval-summary --update-metrics
markitect infospace viability
```
The new infospace passes or fails viability independently of WoN.
---
## Why composition, not inclusion?
An alternative would be to copy WoN entities directly into the target
infospace. Composition avoids that by design:
- **One source of truth** — if WoN is refined, every infospace that binds
it picks up the improvement on the next run without a sync step.
- **Separation of concerns** — each infospace owns its own schema,
thresholds, and entity set. Changing the target topic cannot pollute
the discipline.
- **Bounded dependency** — the binding is a path, so the coupling is
visible in one place (`infospace.yaml`) and easy to remove.
---
## See also
- `examples/supply-chain-vsm/README.md` — the full reference composition.
- `examples/supply-chain-vsm/output/mappings/` — consolidated mapping
files showing the rationale and strength rating for each pairing.
- `examples/infospace-with-history/docs/advanced-usage.md` — patterns for
maintaining the discipline once it is in use.

View File

@@ -0,0 +1,141 @@
# markitect-main → Successor Repos: Gap Assessment
**Date:** 2026-05-23
**Author:** Claude (custodian session)
**Status:** Draft — awaiting Bernd's decisions on items A/B/C below
## Purpose
Bernd is retiring `markitect-main` and has transferred most functionality to
sibling repos. This document identifies what was provided by `markitect-main`
that is **not addressed** in those successors, and flags candidates that may
not fit any successor's intent.
## Successor Ecosystem (5 repos, not 3)
| Repo | Role |
|---|---|
| `markitect-tool` | Markdown syntax layer + structured-document primitives; defines source-adapter and render-adapter contracts. CLI: `mkt`. |
| `kontextual-engine` | Headless knowledge operations engine: artifacts, collections, persistence, relationships, workflow runs/manifests, query, quality/assessment, API. |
| `infospace-bench` | Application layer — concrete infospaces, evaluation methodology, reference pilots. |
| `markitect-filter` | Source-format ingestion adapters (`source.epub3`, `source.pdf`) implementing the markitect-tool source-adapter contract. |
| `markitect-quarkdown` | Render/export adapter — implements the markitect-tool render-adapter contract via Quarkdown. |
## Method
Analysis is grounded in each successor's own assessment docs (recent, May 2026):
- `markitect-tool/docs/markitect-main-scope-assessment.md`
- `kontextual-engine/docs/markitect-main-scope-assessment.md`
- `kontextual-engine/docs/system-layer-extraction-inventory.md`
- `kontextual-engine/docs/system-layer-migration-backlog.md`
- `infospace-bench/docs/markitect-main-scope-assessment.md`
- `infospace-bench/docs/legacy-infospace-feature-inventory.md`
- `infospace-bench/docs/replacement-acceptance-matrix.md`
Cross-checked against actual `markitect-main` module sizing (Python LOC) and
`__init__.py` docstrings.
**Confidence:** These successor docs are authoritative on *intent*. They have
**not** been line-verified to confirm every "reimplement"-classified item
actually landed in the successor. Where verification matters, it's flagged.
---
## A. Doesn't fit any successor's intent — needs a new home or explicit retirement
These are explicitly pushed away by tool/engine/bench and are unrelated to
filter/quarkdown.
| markitect-main area | LOC | What it is | Status |
|---|---|---|---|
| `markitect/finance/` | ~8,100 | Cost-tracking system: cost items, period allocation to issues, financial reports, audit trails | **Orphan.** markitect-main's own SCOPE.md lists "financial transactions" as out-of-scope. Belongs with issue/project-ops, not knowledge tooling. |
| `issue_tracker/` + `_issue-tracking/` + `.issues/` | ~1,200 | Issue tracking (finance allocates costs to these issues) | **Orphan to the five** — but likely already superseded by the `issue-facade` capability / `use-issues` skill. **Verify before retiring.** |
| `markitect/profile/` | ~1,600 | User-profile CRUD, multi-profile, DB-backed | **Orphan.** Unrelated to all five. (Distinct from quarkdown's *render* "profile".) |
| `markitect/production/` | ~3,800 | Deployment-readiness validation, cross-platform checks, perf benchmarking | Engine keeps only "structured error/audit *ideas*". Deployment-validation bulk is orphan. |
| `tools/`, `services/`, gitea/tddai glue | ~5,500 | Project-ops tooling | Out-of-scope everywhere. |
| `markitect/legacy/` + `legacy_compat.py` | ~2,700 | Backward-compat shims | Retire by definition. |
## B. Rendering / asset / plugin layer — only *partially* covered, real residual gap
**This is the most consequential gap.** `SCOPE.md` lists "Rendering: markdown
→ interactive HTML via plugin system (testdrive-jsui)" as an in-scope
capability of markitect-main.
| Area | LOC | Covered? |
|---|---|---|
| `markitect/plugins/` (generic processor/formatter/validator/exporter plugin system) | ~8,000 | **No.** tool defines a render-adapter *contract* and an *extension* point, but the general plugin runtime isn't carried. |
| `markitect/assets/` (content-addressable asset store, dedup, `.mdpkg` ZIP packaging, symlink handling) + `asset_registry.json` (277 KB) | ~6,000 | **No.** Bench says "leave behind unless a concrete export needs assets." |
| Interactive-HTML / testdrive-jsui rendering, `static/`, `themes/`, `templates/document.html`, JS UI | — | **Partial only.** quarkdown covers a *Quarkdown* export path; the interactive-HTML / JS-UI path has no home. |
**Decision needed:** spin these into a dedicated render/asset repo (sibling to
quarkdown), fold the asset store into one of the existing repos, or retire the
interactive-HTML path.
## C. The other "Information Space" lineage — `markitect/spaces/` (~11,000 LOC)
**Distinct from `markitect/infospace/`** (which infospace-bench inherited).
`spaces/` is an older/parallel abstraction with features bench did *not* take:
- event-driven change tracking & notifications
- persistent transclusion context with cross-space references
- bidirectional directory synchronization
- HTML rendering of spaces with caching/themes
Engine takes generic persistence concepts and bench takes infospace semantics,
but **these specific `spaces/` behaviors (bidirectional sync, event
notifications, cross-space transclusion context) aren't mapped anywhere.**
Likely intended as dead/superseded — but 11k LOC warrants an explicit "retire
vs salvage" call.
## D. Declined-by-design (confirm retirement, don't re-extract)
| Area | LOC | Disposition |
|---|---|---|
| `markitect/graphql/` | ~4,000 | All three explicitly declined GraphQL ("evidence of API need, not a commitment"). |
| `markitect/query_paradigms/` | ~3,500 | Engine/tool keep the *QueryResult envelope* concept but say "do not port the registry wholesale." |
| `markitect/proxy/` | ~870 | Non-markdown→md proxy with checksum/freshness tracking. **Overlaps markitect-filter.** Freshness/staleness-tracking mechanism may be worth checking against bench's deferred "stale-mappings." |
| `capabilities/` (top-level) | ~8,300 | Capability-packaging architecture; partially maps to tool (schema generation) but the packaging approach itself isn't carried. |
---
## What this means
The successors are, by their own assessments, **near complete for the
in-scope core** (parsing/schema → tool; persistence/workflow → engine;
infospace lifecycle → bench; ingestion → filter; one render path →
quarkdown). The truly unaddressed functionality is almost entirely the stuff
markitect-main accreted **beyond** its stated scope: finance, issue tracking,
user profiles, production/deployment validation, the asset/plugin/interactive-HTML
rendering stack, and the older `spaces/` abstraction.
## Decisions for Bernd
Three live decisions, not a long extraction backlog:
### Decision 1 — Render/asset stack (Section B)
The one with genuine product value left.
- **Option 1a:** new repo (sibling to quarkdown) for plugin runtime + asset store + interactive-HTML
- **Option 1b:** fold the asset store into an existing repo (most likely markitect-tool, behind a flag); retire interactive-HTML
- **Option 1c:** retire the interactive-HTML path entirely; trust quarkdown export as the single render story
### Decision 2 — `markitect/spaces/` (Section C)
- **Option 2a:** salvage bidirectional-sync / event-tracking / cross-space transclusion into engine (engine has the persistence story to support it)
- **Option 2b:** retire wholesale as superseded by infospace
### Decision 3 — Project-ops cluster (Section A: finance + issues + profile)
- **Option 3a:** confirm `issue-facade` already replaces `issue_tracker/` + `finance/`; retire both
- **Option 3b:** identify a home for any pieces worth keeping
---
## Suggested verification before deciding
If verification matters before committing:
- **For Decision 1:** grep the five repos for any render/asset adapter that already covers the HTML path beyond Quarkdown.
- **For Decision 2:** check whether engine's `OperationRun` + collection model can express bidirectional-sync semantics, or whether new primitives would be needed.
- **For Decision 3:** confirm whether `issue-facade` truly replaces `issue_tracker/` + `finance/` end-to-end.
Happy to do any of these focused passes when you're ready to decide.

View File

@@ -117,7 +117,7 @@ This graph enables:
```bash
# Ensure MarkiTect is installed
cd /path/to/markitect_project
cd /path/to/markitect-main
pip install -e .
```

View File

@@ -57,7 +57,7 @@ How the example measures against the objectives stated in `README.md`:
| 9 | No infrastructure changes during experiment | **Violated** | Three infra fixes were required (tasks 1-3 above). Documented as intended. |
| 10 | Generate task list for infra issues | **Done** | This file. |
## 4. Infospace has no per-chapter git history — OPEN
## 4. Infospace has no per-chapter git history — PARTIAL
**Objective:** README states "The information space should utilize the option
of keeping changes as git history."
@@ -69,12 +69,15 @@ archive policy. There is no commit where you can `git diff` to see exactly
what one chapter contributed to the infospace.
**Impact:** Cannot use `git log`, `git diff`, or `git bisect` to trace how
the infospace grew chapter by chapter — the core promise of "with history."
**Suggested fix:** Re-run the 7 processed chapters (and remaining 28) using
**Progress:** Branch `clean-example-history` was created. Chapters 1-8 have
clean per-chapter commits. 27 chapters remain. Example completeness (tasks 4
and 7) is deferred; no further action planned.
**Suggested fix (original):** Re-run the processed chapters using
`process_chapters.py` without `--no-commit`, on a clean branch or after
squashing the current output into a baseline commit. Each chapter gets its
own commit via `_git_commit_chapter()`.
## 5. Prompt files are regenerated as a side-effect of DB rebuild — OPEN
## 5. Prompt files are regenerated as a side-effect of DB rebuild — RESOLVED
**Issue:** Running `--all --no-commit` to regenerate `infospace.db` also
overwrites `*-prompt.md` files in the output directories because each
@@ -85,9 +88,10 @@ chapters change on every full run.
**Impact:** A DB regeneration dirties the working tree with prompt file
changes, even though no actual outputs changed. Users must `git checkout`
the prompt files after regeneration.
**Suggested fix:** Skip writing prompt files when the corresponding output
file already exists on disk, or add a `--rebuild-db-only` flag that
populates the database without touching the file system.
**Fix applied:** Each pipeline stage (`stage_extract_entities`,
`stage_map_to_vsm`, `stage_synthesize_analysis`, `assess_metrics`) now
skips writing the `*-prompt.md` file when the corresponding output file
already exists on disk. DB regeneration no longer dirties the working tree.
## 6. Metrics report is stale — OPEN
@@ -99,15 +103,16 @@ the report has not been refreshed.
after every batch of new chapters. Consider making metrics assessment
automatic at the end of `--book` or `--all` runs.
## 7. Remaining 28 chapters not yet processed — OPEN
## 7. Remaining 28 chapters not yet processed — DEFERRED
**Issue:** Only Book I chapters 1-7 have been processed. Books II-V
(28 chapters) remain unprocessed.
**Impact:** The infospace is incomplete — VSM coverage is limited to S1,
S2, and partial S4. S3, S3*, S5, and many systemic concepts (algedonic
signals, recursion, variety) are expected to emerge from later books.
**Suggested fix:** Process remaining chapters in book-sized batches with
per-chapter commits, refreshing metrics after each book.
**Note:** Example completeness is deferred. The 7/35 chapter corpus is
sufficient to validate the tooling. Resuming requires the `clean-example-history`
branch and a valid `OPENROUTER_API_KEY`.
---
@@ -130,7 +135,7 @@ The improvement splits metrics into two layers:
Both layers persist results in structured form so they can be diffed,
tracked over time, and committed alongside the entities they evaluate.
## 8. Add per-concept quality metrics to entity schema — OPEN
## 8. Add per-concept quality metrics to entity schema — RESOLVED
**Issue:** The entity schema (`economic-entity-schema-v1.0.md`) defines
required sections and validation rules (section presence, word count range)
@@ -158,8 +163,10 @@ Similarly update the VSM mapping schema with:
Weak) consistent with the rationale given?
These rubrics become the prompt instructions for task 9.
**Fix applied:** `## Quality Metrics` section added to
`schemas/economic-entity-schema-v1.0.md` and `schemas/vsm-mapping-schema-v1.0.md`.
## 9. Create evaluate-entity prompt template — OPEN
## 9. Create evaluate-entity prompt template — RESOLVED
**Depends on:** Task 8 (quality metrics in schema).
**Issue:** There is no mechanism to evaluate an existing entity after
@@ -193,8 +200,11 @@ Add a pipeline stage: `--evaluate` runs this template against every
canonical entity and writes results to `output/evaluations/<slug>-eval.md`.
A `--evaluate --chapter <id>` variant evaluates only entities introduced
by that chapter.
**Fix applied:** `templates/evaluate-entity.md` created. `--evaluate`
flag added to `process_chapters.py`. Reads `@{quality_rubric}` from the
entity schema's Quality Metrics section.
## 10. Add deterministic schema compliance checker — OPEN
## 10. Add deterministic schema compliance checker — RESOLVED
**Issue:** Schema compliance is currently LLM-evaluated ("100%" in the
metrics report) but the validation rules in the schemas are mechanical:
@@ -222,8 +232,10 @@ Validation: 85 entities, 3 warnings
```
This is fully deterministic — no LLM calls needed.
**Fix applied:** `markitect/infospace/validator.py``validate_entity()`
and `validate_entities()`. Exposed via `--infospace-check`.
## 11. Structured metrics output format — OPEN
## 11. Structured metrics output format — RESOLVED
**Depends on:** Tasks 9 and 10.
**Issue:** The metrics report is a markdown narrative. Values cannot be
@@ -261,8 +273,9 @@ evaluation: # from LLM-eval (task 9)
The `--metrics` command writes both files. The YAML file is committed
to git so `git diff` shows exactly how metrics changed between runs.
**Fix applied:** `output/metrics/metrics.yaml` produced by `--infospace-check`.
## 12. Metrics-over-time tracking — OPEN
## 12. Metrics-over-time tracking — RESOLVED
**Depends on:** Task 11 (structured output).
**Issue:** There is one metrics snapshot that gets overwritten. No history
@@ -283,6 +296,8 @@ Metrics history (5 snapshots):
This provides the "metrics that improve over time" feedback loop the
README envisions: process chapters → evaluate → see coverage grow (or
flag regressions when a re-extraction reduces quality scores).
**Fix applied:** `output/metrics/history.yaml` maintained by
`markitect/infospace/history.py`.
---
@@ -296,7 +311,7 @@ be built once per evaluation run.
See the methodology document for theoretical grounding, framework
references, and the full metric definitions per concern.
## 13. Entity metadata index — deterministic parsing layer — OPEN
## 13. Entity metadata index — deterministic parsing layer — RESOLVED
**Depends on:** Task 10 (schema compliance checker shares parsing logic).
**Issue:** Several collection-level metrics (coverage matrix, FCA context,
@@ -324,8 +339,10 @@ class EntityMeta:
Build an index of all entities at the start of each evaluation run.
This index is the input for tasks 14, 16, and 18. Expose as
`--index` CLI flag for inspection.
**Fix applied:** `markitect/infospace/entity_parser.py``parse_entity_file()`
and `parse_entity_directory()`. Used automatically by `--infospace-check`.
## 14. Redundancy detection (Concern C1) — OPEN
## 14. Redundancy detection (Concern C1) — RESOLVED
**Depends on:** Task 13 (metadata index).
**Methodology:** OOPS! P2 (synonymous classes) + embedding similarity +
@@ -357,8 +374,9 @@ dedup only checks slug collisions. There is no semantic overlap detection.
- `intensional_conciseness`: `1 - redundancy_ratio`
**CLI:** `--check-redundancy --provider <provider>`
**Fix applied:** `markitect/infospace/checks/redundancy.py`. Exposed via `--infospace-check`.
## 15. Coverage completeness (Concern C2) — OPEN
## 15. Coverage completeness (Concern C2) — RESOLVED
**Depends on:** Task 13 (metadata index).
**Methodology:** SEQUAL completeness + FCA gap analysis + DSL competency
@@ -399,8 +417,9 @@ questions about the economic system.
- `competency_coverage`: fraction of questions answerable
**CLI:** `--check-coverage --provider <provider>`
**Fix applied:** `markitect/infospace/checks/coverage.py`. Exposed via `--infospace-check`.
## 16. Structural coherence (Concern C3) — OPEN
## 16. Structural coherence (Concern C3) — RESOLVED
**Depends on:** Task 13 (metadata index).
**Methodology:** OntoQA relationship richness + graph connectivity +
@@ -440,8 +459,9 @@ between entities.
- `cohesion_by_domain` / `coupling_across_domains`: scalars
**CLI:** `--check-coherence --provider <provider>`
**Fix applied:** `markitect/infospace/checks/coherence.py`. Exposed via `--infospace-check`.
## 17. Definitional consistency (Concern C4) — OPEN
## 17. Definitional consistency (Concern C4) — RESOLVED
**Depends on:** Task 16 (relationship graph — the definitional dependency
graph is a directed variant of the same structure).
@@ -479,8 +499,9 @@ entities but aren't.
- `source_fidelity_score`: fraction passing source check
**CLI:** `--check-consistency --provider <provider>`
**Fix applied:** `markitect/infospace/checks/consistency.py`. Exposed via `--infospace-check`.
## 18. Granularity balance (Concern C5) — OPEN
## 18. Granularity balance (Concern C5) — RESOLVED
**Depends on:** Task 13 (metadata index).
**Methodology:** Keet granularity theory + OntoClean rigidity +
@@ -517,8 +538,9 @@ or whether some entities are too specific/general relative to their peers.
- `split_candidates`: list of entities
**CLI:** `--check-granularity --provider <provider>`
**Fix applied:** `markitect/infospace/checks/granularity.py`. Exposed via `--infospace-check`.
## 19. Unified collection evaluation command — OPEN
## 19. Unified collection evaluation command — RESOLVED
**Depends on:** Tasks 13-18.
**Issue:** Running five separate `--check-*` commands is cumbersome and
@@ -537,6 +559,10 @@ runs all five checks in sequence, sharing infrastructure:
Incremental mode: `--evaluate-collection --chapter <id>` re-evaluates
only entities from that chapter plus pairwise checks involving them.
**Fix applied:** `markitect/infospace/checks/orchestrator.py` + `--infospace-check`
CLI flag. All five checks share the metadata index. Results recorded in
`output/metrics/metrics.yaml` and `output/metrics/history.yaml`.
Report a summary to stdout:
```
@@ -547,3 +573,97 @@ Collection evaluation (85 entities, 7 chapters):
Consistency: 0 cycles, 5 undefined deps, 0 contradictions
Granularity: entropy 1.42, 1 dispensable, 2 merge candidates
```
---
## Closing Remark (23 Feb 2026)
All 19 original infrastructure tasks have been resolved (or intentionally
deferred for scope reasons — tasks 4 and 7). The infospace now has:
- **988 entities** extracted from 7 of 35 WoN chapters
- **985 per-entity LLM evaluations** (5 dimensions, mean 3.96/5.0)
- **823 L2 type × VSM classifications** (29/30 matrix cells occupied)
- **15 L3 relation triplets** with 6 feedback loops detected
- **Viability dashboard: 6/6 PASS**
The tooling built here generalises beyond this example. The `markitect
infospace` CLI family — `classify`, `evaluate`, `check`, `relations`,
`graph`, `viability` — is ready to use on any new infospace.
The following tasks remain open as of this writing:
---
## 20. Complete L2 classification batch — OPEN
**Issue:** 165 of 988 entities remain unclassified. The batch was
interrupted by OpenRouter credit exhaustion (HTTP 402) near the end of
the alphabet (roughly `wz` entities).
**Impact:** `classify-summary` reports 823/988 entities; the type × VSM
matrix has one empty cell (Institution/S4) that may fill once the
remaining entities are classified.
**Fix:** Run `markitect infospace classify --provider openrouter` (or
`--provider gemini --rpm 10` after daily quota reset). Incremental skip
handles the 823 already classified automatically.
---
## 21. Run classify-links for Relation-type entities — OPEN
**Depends on:** Task 20 (full classification batch).
**Issue:** 58 entities were classified as type `Relation`. These are
structural connectors (e.g. "Rent determined by Price") that name two
endpoints and a mechanism. The `classify-links` command captures this
endpoint data (SUBJECT, OBJECT, MECHANISM fields), enriching the
classification files and enabling the `entities --by-type` display
to show the relation graph inline.
**Impact:** Without `classify-links`, Relation-type entities are displayed
without their linking data. The `graph` command cannot draw edges through
Relation-typed entities as intermediaries.
**Fix:** `markitect infospace classify-links --provider openrouter`
(or gemini). Enriches existing classification files in-place; safe to
re-run.
---
## 22. Refresh stale metrics report — OPEN
**Issue (original task 6, still open):** `output/metrics/metrics-report.md`
is a narrative report generated by the old pipeline. It predates the
structured `metrics.yaml` / `history.yaml` system and reflects only
the 7-chapter partial corpus without LLM evaluation scores.
**Impact:** The narrative report is misleading — it shows outdated numbers.
Readers may trust it over the authoritative `metrics.yaml`.
**Fix:** Either regenerate via `markitect infospace process --post-batch`
(if the `assess-metrics` template is updated to reference `metrics.yaml`),
or archive the old report with a deprecation notice pointing to
`output/metrics/metrics.yaml`.
---
## 23. Smoke-test the graph command end-to-end — OPEN
**Issue:** `markitect infospace graph` was implemented and committed
(S2 graph export module) but has not been exercised against real
classified data from this example.
**Impact:** The command may have edge cases when combining sparse
classifications (823/988 entities) with the 15 seed relation files.
Filters (`--type`, `--vsm`, `--loops`, `--entity`) and both output
formats (Mermaid, DOT) should be verified.
**Fix:** Run a few representative invocations:
```
markitect infospace graph --format mermaid --color-by vsm --loops
markitect infospace graph --type Relation --format dot
markitect infospace graph --entity division_of_labour
```
Fix any rendering issues found.

View File

@@ -45,11 +45,11 @@ metrics — it is fit for purpose as an explanatory tool.
```
examples/infospace-with-history/
├── infospace.yaml # Declarative infospace configuration (NEW)
├── infospace.yaml # Declarative infospace configuration
├── README.md
├── TUTORIAL.md # This file
├── INFRA-TASKS.md # Infrastructure issues found during the experiment
├── process_chapters.py # Pipeline script (chapter processing)
├── LAYERED-DEVELOPMENT.md # Concept for L2L4 entity classification and modelling
├── infospace.db # SQLite artifact database (generated, not in git)
├── schemas/ # Output structure definitions
@@ -301,61 +301,79 @@ Named `book-1-chapter-01.md` through `book-5-chapter-03.md`.
## 7. Processing Chapters
`process_chapters.py` orchestrates the three-stage pipeline. It initialises
the artifact repository, loads static artifacts, runs entity extraction →
VSM mapping → analysis synthesis, and commits each chapter to git.
`markitect infospace process` orchestrates the three-stage pipeline declared
in `infospace.yaml`. It runs entity extraction → VSM mapping → analysis
synthesis for each source file, and commits each chapter to git.
### Single chapter
```bash
# Manual mode (writes prompts, awaits output files):
python process_chapters.py --chapter book-1-chapter-05 --no-commit
# Dry run — loads existing outputs only, no LLM calls:
markitect infospace process "book-1-chapter-05.md"
# Auto mode via OpenRouter (free models available):
python process_chapters.py --chapter book-1-chapter-05 --provider openrouter
# Process via OpenRouter (free models available):
markitect infospace process "book-1-chapter-05.md" --provider openrouter
# With a specific free model:
python process_chapters.py --chapter book-1-chapter-05 \
markitect infospace process "book-1-chapter-05.md" \
--provider openrouter --model meta-llama/llama-4-maverick:free
# Skip git commit after processing:
markitect infospace process "book-1-chapter-05.md" \
--provider openrouter --no-commit
```
The GLOB_PATTERN is matched against the `sources` directory declared in
`infospace.yaml`. Already-processed chapters are skipped automatically —
their output files already exist on disk.
### Whole book or all chapters
```bash
python process_chapters.py --book 1 --provider openrouter
python process_chapters.py --all --provider openrouter
# Process all chapters of Book 1:
markitect infospace process "book-1-*.md" --provider openrouter
# Process all 35 source files:
markitect infospace process --all --provider openrouter
# Process all chapters and run quality checks after each one:
markitect infospace process --all --provider openrouter --check-after-each
```
### Check progress
```bash
python process_chapters.py --list
markitect infospace status
```
```
Available chapters (35):
Chapter Entities Mappings Analysis
------------------------------ ------------ ------------ ------------
book-1-chapter-01 done (13) done done
book-1-chapter-02 done (7) done done
...
Canonical entity set: 109 unique entities
Infospace: The Wealth of Nations
Domain: Classical Economics
Entities: 988
Domains: Accumulation, Consumption, Distribution, Exchange,
General Theory, Production, Regulation
Disciplines: Viable System Model
Last evaluated: 2026-02-19T21:54:44
```
```bash
markitect infospace entities
```
Lists all canonical entities with domain, source chapter, and word count.
### Entity lifecycle
Entities in the canonical set are **never silently deleted**. Retire
an entity by archiving it with a documented reason:
Entities in the canonical set are **never silently deleted**. To retire
an entity, move it to `output/entities/archive/<slug>.md` and add a
dated archive header:
```bash
python process_chapters.py --archive-entity enlarged-monopoly \
--reason "Subsumed by monopoly-price — same market distortion"
```markdown
<!-- archived: 2026-02-22 reason="Subsumed by monopoly-price — same market distortion" -->
```
The archived file moves to `output/entities/archive/<slug>.md` with a
dated header, preserving the intellectual history of every decision.
Then commit the removal so the intellectual history of every decision
is preserved in git.
---
@@ -373,55 +391,99 @@ markitect infospace evaluate --provider openrouter
# Evaluate entities from a specific chapter:
markitect infospace evaluate --chapter book-1-chapter-05 --provider openrouter
# Re-evaluate a single entity:
markitect infospace evaluate --entity division-of-labour --provider openrouter
# Re-evaluate a single entity (slugs use underscores):
markitect infospace evaluate --entity division_of_labour --provider openrouter
```
This runs the `evaluate-entity` prompt template against each entity,
scoring dimensions like definition precision, source grounding, and
VSM relevance. Results are written to `output/evaluations/`.
The command is resumable: entities with existing evaluation files are
skipped automatically. Re-run after an interruption and it picks up
where it left off. Results are written incrementally to
`output/evaluations/<slug>.md`.
Each entity is scored on five dimensions (15 scale):
- `definition_precision` — Is the definition precise and non-circular?
- `source_grounding` — Is the entity grounded in the actual source text?
- `domain_placement` — Is the economic domain assignment correct?
- `vsm_relevance` — Does the entity map naturally to a VSM system (S1S5)?
- `explanatory_value` — Does the entity add genuine explanatory power?
### Evaluation summary
After the evaluation run completes, compute aggregate statistics:
```bash
# Show per-dimension means:
markitect infospace eval-summary
# Also write per_entity_mean to metrics.yaml for viability checks:
markitect infospace eval-summary --update-metrics
```
Sample output (full corpus, 988 entities):
```
Evaluation summary — 988 entities evaluated
Dimension Mean
--------------------------------------
overall 4.XX
definition_precision 4.XX
domain_placement X.XX
explanatory_value 4.XX
source_grounding 4.XX
vsm_relevance 3.XX
Range: X.XX X.XX
```
`vsm_relevance` typically scores lower than the other dimensions —
many WoN concepts are foundational economic ideas that don't map
cleanly to a single VSM system. This is expected and informative.
### Collection-level checks (C1C5)
```bash
# Run all five collection checks:
markitect infospace check --provider openrouter
markitect infospace check
# Run individual checks:
markitect infospace check redundancy # C1: Are any entities synonymous?
markitect infospace check coverage # C2: Which domain × VSM cells are empty?
markitect infospace check coherence # C3: Is the entity graph well-connected?
markitect infospace check consistency # C4: Are there circular definitions?
markitect infospace check granularity # C5: Is abstraction level balanced?
markitect infospace check --concern redundancy # C1: Are any entities synonymous?
markitect infospace check --concern coverage # C2: Which domain × chapter cells are empty?
markitect infospace check --concern coherence # C3: Is the entity graph well-connected?
markitect infospace check --concern consistency # C4: Are there circular definitions?
markitect infospace check --concern granularity # C5: Is abstraction level balanced?
```
Collection checks are deterministic (embeddings, graph analysis, FCA) and
require no LLM provider.
Each check uses the platform's embedding, graph analysis, and FCA
infrastructure. Results are written to `output/metrics/` and a new
snapshot is appended to `metrics-history.yaml`.
Sample output:
Sample output (full corpus, 988 entities):
```
Running collection checks on 109 entities...
Collection checks — 988 entities
C1 — redundancy
redundancy_ratio: 0.0183
high_similarity_pairs: 2
redundancy_ratio: 0.0061
similar_pairs: 3 candidates (word-overlap > 0.85)
C2 — coverage
coverage_ratio: 0.4286
empty_cells: [['Regulation', 'S3*'], ['Historical', 'S5']]
coverage_ratio: 0.619
domain_densities: Exchange 0.85, Regulation 0.85, General Theory 0.73 …
density_std: 0.211 cross_cutting_ratio: 0.714
C3 — coherence
coherence_components: 1
modularity: 0.412
connected_components: 0 (no cross-reference graph built yet)
modularity: 0.0
C4 — consistency
consistency_cycles: 0
grounding_ratio: 0.94
cycle_count: 0
C5 — granularity
granularity_entropy: 2.69
granularity_entropy: 2.953
```
---
@@ -436,20 +498,26 @@ Compares the latest metrics against the thresholds declared in
`infospace.yaml`:
```
Metric Value Threshold Status
-----------------------------------------------------------
redundancy_ratio 0.0183 max=0.10 PASS
coverage_ratio 0.4286 min=0.50 FAIL
coherence_components 1 max=3 PASS
consistency_cycles 0 max=0 PASS
granularity_entropy 2.6900 min=1.0 PASS
Metric Value Threshold Status
---------------------------------------------------------------
redundancy_ratio 0.0061 max=0.1 PASS
coverage_ratio 0.6190 min=0.4 PASS
coherence_components 0.0000 max=3 PASS
consistency_cycles 0.0000 max=0 PASS
granularity_entropy 2.6748 min=1.0 PASS
per_entity_mean 4.XXXX min=3.5 PASS
Viable: NO (4/5 thresholds met)
Viable: YES (6/6 thresholds met)
```
Coverage is currently failing (42% < 50% threshold) because only 9 of
35 chapters have been processed. Once more chapters are done, coverage
will rise.
`per_entity_mean` only appears after running `eval-summary --update-metrics`.
Run `check` first (deterministic), then `eval-summary --update-metrics`,
then `viability` to see the full six-threshold dashboard.
During early processing (first few books), coverage will fall and
then stabilise as the domain × chapter matrix fills in. The threshold
of 0.40 reflects realistic expectations for a multi-book corpus where
some domains are naturally sparse in certain chapters.
### Metrics history
@@ -460,9 +528,19 @@ markitect infospace history
Shows how metrics evolved across runs:
```
Snapshot Date Entities coverage redundancy entropy
-------------------------------------------------------------
6ba48eb2 2026-02-19 85 0.361 0.000 2.687
History: 36 snapshot(s)
# Date Entities Metrics
------------------------------------------
1 2026-02-19T13:07:13 18 6
2 2026-02-19T13:16:36 43 6
...
36 2026-02-19T21:54:44 1021 6
```
```bash
# Show trend for a specific metric:
markitect infospace history --metric coverage_ratio
```
---
@@ -483,16 +561,13 @@ This means:
- You can `git bisect` to find where quality degraded
- You can revert a chapter and re-process with improved guidelines
The `clean-example-history` branch in this repository demonstrates the
intended structure: each chapter is a single, self-contained commit.
Use it as a reference for how the infospace grew step by step.
To commit manually after reviewing:
To review before committing:
```bash
python process_chapters.py --chapter book-1-chapter-05 --provider openrouter --no-commit
markitect infospace process "book-1-chapter-05.md" \
--provider openrouter --no-commit
# review output/entities/ and output/mappings/
git add examples/infospace-with-history/output/
git add output/
git commit -m "infospace: process book-1-chapter-05"
```
@@ -519,7 +594,7 @@ Use `openrouter/free` to automatically select from whichever free model is
available:
```bash
python process_chapters.py --chapter book-1-chapter-05 \
markitect infospace process "book-1-chapter-05.md" \
--provider openrouter --model openrouter/free
```
@@ -531,78 +606,162 @@ when running inside a Claude Code session due to nested session restrictions.
---
## 12. Completing the Remaining Chapters
## 12. Processing the Full Corpus
As of writing, 9 of 35 chapters are processed (Book I, Chapters 19).
All 35 chapters have been processed in this example. The commands below
show how the full run was executed — use them as a template for your own
corpus.
**Process Book I remainder:**
**Process one book at a time:**
```bash
export OPENROUTER_API_KEY=$(cat apikey-openrouter.txt | tr -d '[:space:]')
git checkout clean-example-history
python process_chapters.py --book 1 --provider openrouter
markitect infospace process "book-1-*.md" --provider openrouter
markitect infospace process "book-2-*.md" --provider openrouter
markitect infospace process "book-3-*.md" --provider openrouter
markitect infospace process "book-4-*.md" --provider openrouter
markitect infospace process "book-5-*.md" --provider openrouter
```
Already-processed chapters are skipped — their chapter view files exist.
The `@{existing_entities}` macro ensures the LLM only extracts genuinely
new entities.
Already-processed chapters are skipped automatically — their output files
exist on disk. The `@{existing_entities}` macro ensures the LLM only
extracts genuinely new entities.
**Process Books IIV:**
**Or process everything at once:**
```bash
python process_chapters.py --book 2 --provider openrouter
python process_chapters.py --book 3 --provider openrouter
python process_chapters.py --book 4 --provider openrouter
python process_chapters.py --book 5 --provider openrouter
markitect infospace process --all --provider openrouter
```
**Run collection checks after each book:**
```bash
markitect infospace check --provider openrouter
markitect infospace check
markitect infospace viability
```
**Expected progression:**
**Observed metric progression (actual results):**
| After | Chapters | Expected coverage |
|-------|----------|-------------------|
| Book I (11 ch.) | 11/35 | S1, S2, S4 strong; S3 emerging |
| Books III (16 ch.) | 16/35 | S3 (capital control) covered |
| Books IIII (20 ch.) | 20/35 | Historical patterns add depth |
| Books IIV (30 ch.) | 30/35 | S5 (policy, mercantilism) emerging |
| All (35 ch.) | 35/35 | Full coverage; S3* and algedonic signals from Book V |
| After | Entities | coverage_ratio | entropy |
|-------|----------|----------------|---------|
| Book I (11 ch.) | ~236 | 0.51 | 2.77 |
| Books III (16 ch.) | ~348 | 0.56 | 2.82 |
| Books IIII (20 ch.) | ~456 | 0.59 | 2.97 |
| Books IIV (30 ch.) | ~930 | 0.51 | 2.94 |
| All (35 ch.) | 988 | **0.62** | 2.95 |
Coverage dips in Books IVV as policy-heavy chapters introduce domains
that are sparse in earlier books, then recovers as the matrix fills in.
---
## 13. Using the Infospace as a Discipline
A completed, viable infospace can itself become a **discipline** — a lens
applied to a new topic. For example, the Wealth of Nations infospace could
be applied to analyse a modern supply chain.
applied to a new topic. The working example is in
`examples/supply-chain-vsm/`: it binds this WoN infospace as a discipline
and applies Smith's framework to modern supply chain management.
### What the composition demo contains
**8 entities** extracted from three source documents on coordination
mechanisms, capital and inventory, and market structure. Each entity
maps to a specific WoN concept with a rationale and conceptual continuity
rating (Strong / Moderate / Weak):
| Supply Chain Entity | WoN Concept | Strength | VSM |
|---|---|---|---|
| Demand Signal | Effectual Demand | Strong | S2 |
| Vendor-Managed Inventory | Division of Labour | Strong | S1/S2 |
| Just-in-Time Inventory | Circulating Capital | Strong | S1/S3 |
| Bullwhip Effect | Natural Price as Central Price | Moderate | S2 |
| Safety Stock | Accumulation of Stock | Moderate | S3 |
| Platform Intermediary | Merchant Capital | Strong | S2/S4 |
| Monopsony Power | Combination of Masters | Strong | S3* |
| Single-Source Dependency | Monopoly in Trade | Moderate | S4/S5 |
Because WoN entities are already mapped to VSM systems, supply chain
entities **inherit VSM positions by transitivity** — the supply chain
infospace gets VSM coverage without needing its own VSM reference.
### Running the composition demo
```bash
# In a new infospace directory:
cd examples/supply-chain-vsm
# Check bound disciplines and their viability:
markitect infospace disciplines
```
```
Name Entities Viable Path
----------------------------------------------------------------------
Wealth of Nations 988 YES ../infospace-with-history
```
```bash
# Show infospace status:
markitect infospace status
```
```
Infospace: Modern Supply Chain Management
Domain: Operations Management
Entities: 8
Disciplines: Wealth of Nations
```
```bash
# Run checks and review viability:
markitect infospace check
markitect infospace viability
```
```
Metric Value Threshold Status
---------------------------------------------------------------
redundancy_ratio 0.0000 max=0.1 PASS
coverage_ratio 1.0000 min=0.5 PASS
coherence_components 0.0000 max=2 PASS
consistency_cycles 0.0000 max=0 PASS
granularity_entropy 1.9056 min=0.8 PASS
Viable: YES (5/5 thresholds met)
```
### Setting up your own composed infospace
```bash
mkdir my-new-topic/ && cd my-new-topic/
markitect infospace init \
--topic "Modern Supply Chain Management" \
--domain "Operations Research" \
--discipline "Wealth of Nations"
--topic "My Topic" \
--domain "My Domain"
# Bind the WoN infospace as a discipline:
markitect infospace bind-discipline ../infospace-with-history
markitect infospace bind-discipline --name "Wealth of Nations" \
../infospace-with-history
# List bound disciplines and their viability:
# Confirm it is viable before using:
markitect infospace disciplines
# Viable System Model PASS (from vsm-reference/)
# Wealth of Nations PASS (from ../infospace-with-history)
# Check for stale mappings after discipline update:
markitect infospace stale-mappings
```
The discipline infospace must be viable (meeting its own thresholds)
before it can be used as a lens. If the discipline's entities change,
dependent mappings are flagged for re-evaluation.
use `markitect infospace stale-mappings` to identify mappings that need
re-evaluation.
### The WoN core entity reference
Rather than injecting all 988 WoN entities into every prompt (which
would overflow context), the supply chain demo uses a curated reference
file at `artifacts/won-reference/core-entities.md` — 12 key WoN entities
selected for their relevance to operations and market structure. The
pipeline stage macro `@{won_core_entities}` injects this file.
For a different topic, create an equivalent curated reference of the
WoN entities most relevant to your domain.
---
@@ -610,9 +769,9 @@ dependent mappings are flagged for re-evaluation.
The infospace is designed to be **iteratively refined**:
1. **Process chapters**run the pipeline
1. **Process chapters**`markitect infospace process "book-1-*.md" --provider openrouter`
2. **Evaluate**`markitect infospace evaluate --provider openrouter`
3. **Check**`markitect infospace check --provider openrouter`
3. **Check**`markitect infospace check`
4. **Review viability**`markitect infospace viability`
5. **Refine guidelines** — update `extraction-rules.md` or
`mapping-rules.md` to address identified weaknesses
@@ -626,18 +785,31 @@ audit, inspection, and oversight mechanisms.
To re-process a specific chapter:
```bash
# Delete stage outputs for that chapter (not canonical entity files):
rm -f output/entities/book-1-chapter-03-entities.md
rm -f output/mappings/book-1-chapter-03-mappings.md
rm -f output/analyses/book-1-chapter-03-analysis.md
python process_chapters.py --chapter book-1-chapter-03 --provider openrouter
# Re-run:
markitect infospace process "book-1-chapter-03.md" --provider openrouter
```
Never silently delete canonical entity files. Archive them instead:
Never silently delete canonical entity files. Archive them instead by
moving to `output/entities/archive/` with a dated comment header, then
re-process the chapter so the pipeline can extract a replacement:
```bash
python process_chapters.py --archive-entity extent-of-the-market \
--reason "Subsumed by market-price and effectual-demand"
python process_chapters.py --chapter book-1-chapter-03 --provider openrouter
# Archive the entity manually:
mkdir -p output/entities/archive
mv output/entities/extent-of-the-market.md output/entities/archive/
# Add header to the archived file explaining why
echo '<!-- archived: 2026-02-22 reason="Subsumed by market-price and effectual-demand" -->' \
| cat - output/entities/archive/extent-of-the-market.md > /tmp/tmp.md \
&& mv /tmp/tmp.md output/entities/archive/extent-of-the-market.md
# Delete the chapter entity view so the chapter re-runs:
rm -f output/entities/book-1-chapter-03-entities.md
markitect infospace process "book-1-chapter-03.md" --provider openrouter
```
---
@@ -651,9 +823,12 @@ it is fully derived from the markdown files that are tracked.
To regenerate it after a fresh clone (no LLM calls needed):
```bash
python process_chapters.py --all --no-commit
markitect infospace process --all
```
Without `--provider`, the command runs in dry-run mode: it loads existing
output files from disk into the database without making any LLM calls.
---
## 16. Adapting This Pattern to Your Own Project
@@ -665,9 +840,9 @@ To build your own infospace:
3. Write extraction guidelines that tell the LLM what to look for
4. Create prompt templates using `@{macro}` syntax
5. Populate `artifacts/sources/` with your source corpus
6. Run `process_chapters.py` (or your equivalent pipeline script)
7. Evaluate with `markitect infospace evaluate` and `check`
8. Review `markitect infospace viability` against your thresholds
6. `markitect infospace process --all --provider openrouter`
7. `markitect infospace check` and `markitect infospace evaluate --provider openrouter`
8. `markitect infospace viability` — review against your thresholds
9. Iterate: refine guidelines, re-process, re-evaluate
10. Once viable, use as a discipline for a new infospace

View File

@@ -0,0 +1,230 @@
# Advanced Usage — Wealth of Nations Infospace
Patterns for working with the WoN infospace (988 entities) after the initial
pipeline run. Every command in this file has been run against the actual
infospace at the time of writing (2026-04-21); output shapes are excerpted
verbatim.
All commands assume `cwd = examples/infospace-with-history` and the
`markitect-venv` Python environment.
---
## 1. Incremental evaluation — add entities after the initial run
`markitect infospace evaluate` writes one file per entity under
`output/evaluations/<slug>.md`. It skips any entity whose evaluation file
already exists, so re-running after adding a new entity processes only the
new one.
```bash
# Add a new entity file
vim output/entities/new-concept.md
# Evaluate only the new entity (explicit)
markitect infospace evaluate --entity new-concept --provider openrouter
# Or re-run the whole pass — existing 988 are skipped, only the new file hits the LLM
markitect infospace evaluate --provider openrouter
```
**How skip detection works.** Evaluation slugs are normalised to underscores
with `_s_` preserving apostrophes (`farmers-capital` entity →
`farmer_s_capital.md` evaluation). If a new entity slug collides with an
existing evaluation under this normalisation, the eval will be skipped.
To be sure an entity was picked up, check:
```bash
# Count entities vs evaluations
ls output/entities/*.md | grep -Ev 'book-[0-9]+-(chapter-[0-9]+|introduction)-' | wc -l
ls output/evaluations/*.md | wc -l
```
---
## 2. Re-evaluating after guideline changes
`evaluate` has no `--force` flag; re-evaluation requires deleting the
existing file first.
```bash
# Re-evaluate a single entity after updating the evaluation rubric
rm output/evaluations/accumulation_of_stock.md
markitect infospace evaluate --entity accumulation-of-stock --provider openrouter
# Re-evaluate a whole chapter
ls output/entities/book-1-chapter-06-entities.md # see which entities the chapter produced
# Map chapter entities to eval filenames (apostrophe/underscore normalisation) and rm them
```
After re-evaluating, refresh the aggregate:
```bash
markitect infospace eval-summary --update-metrics
```
This merges `per_entity_mean` into `output/metrics/metrics.yaml` so the next
`markitect infospace viability` check reflects the new scores.
---
## 3. Interpreting per-entity score distributions
`eval-summary` shows the mean for each of the five evaluation dimensions
plus the overall range:
```
$ markitect infospace eval-summary
Evaluation summary — 985 entities evaluated
Dimension Mean
--------------------------------------
overall 3.956
definition_precision 3.620
domain_placement 4.559
explanatory_value 3.936
source_grounding 4.358
vsm_relevance 3.305
Range: 1.00 4.80
```
Interpretation:
- `overall` above the 3.5 viability threshold → the collection passes
`per_entity_mean`.
- The lowest dimension (`vsm_relevance` = 3.305) is the weakest signal. If
the collection is meant to be VSM-grounded, this is the dimension most
worth improving (via sharper entity definitions or schema changes).
- A wide range (1.00 4.80) tells you there are outliers at both ends —
worth triaging (see pattern 4).
---
## 4. Triaging low scorers
`markitect infospace entities --by-type` prints each entity's star score
in-line:
```
$ markitect infospace entities --by-type | head
=== Element (315 entities) ===
active_and_productive_stock Accumulation S1 ★4.6
advanced_state_of_society General Theory S5
agio_of_bank_money Exchange S2 ★4.8
```
Entities with no `★` have no evaluation yet. To list the lowest-scoring
entities across the whole collection:
```bash
# Extract overall_score from every evaluation file and sort ascending
for f in output/evaluations/*.md; do
score=$(awk '/^overall_score:/ {print $2; exit}' "$f")
printf "%s\t%s\n" "$score" "$(basename "$f" .md)"
done | sort -n | head -20
```
The 20 lowest scorers are the natural triage list — inspect their
`output/entities/<slug>.md` and evaluation rationales to decide whether to
refine the entity, merge it with a better-formed neighbour, or drop it.
---
## 5. Reading and acting on collection-check output
`markitect infospace check` runs five concerns (C1C5). Use `--concern` to
focus on one and `--json` for machine-readable output:
```bash
# Redundancy — which pairs of entities are suspiciously similar?
markitect infospace check --concern redundancy --json
```
```json
{
"redundancy": {
"concern": "C1",
"redundancy_ratio": 0.0061,
"similar_pairs": [
{"entity_a": "bank_economic_contribution_metrics",
"entity_b": "bank_economic_development_metrics",
"similarity": 1.0, "method": "word_overlap"},
{"entity_a": "economic_system_objectives",
"entity_b": "economic_system_purpose",
"similarity": 0.9394, "method": "word_overlap"}
]
}
}
```
Acting on this:
- **Similarity = 1.0** is almost certainly a duplicate — pick one slug and
merge or delete the other.
- **0.850.99** usually means two entities genuinely cover the same idea
with slight phrasing differences. Merging is the cleanest fix.
- **< 0.85** usually represents legitimate adjacent concepts — leave as-is
unless the definition rubric says otherwise.
For coverage and coherence, the pattern is the same: the `--json` output
surfaces the specific entities / missing links / disconnected components
you need to look at, rather than a bare ratio.
---
## 5. Systematic processing of long texts
For long source material (books, multi-chapter specifications, corpora), the
pipeline can produce a clean chapter-by-chapter git history on its own if
you let it. The pattern:
```bash
# Process all sources in canonical order, eval and classify per chapter,
# snapshot metrics after each chapter.
markitect infospace process --all \
--provider openrouter \
--eval-after-source \
--classify-after-source \
--check-after-each
```
What you get:
- **One commit per source file**, not per batch run. The commit message body
lists counts by bucket (`entities: +23`, `evaluations: +23`,
`classifications: +23`) derived from the actual staged diff, so `git log`
reads like the story of the infospace growing.
- **Chapter-atomic commits.** `--eval-after-source` and
`--classify-after-source` evaluate and classify *only the new entities*
from the just-processed source before the commit lands, so each commit is
a self-contained chapter snapshot.
- **Metrics-per-chapter trail.** `--check-after-each` appends a snapshot to
`output/metrics/history.yaml` after every chapter, so `markitect infospace
history` later shows the metric trajectory rather than just start/end.
**Cost tradeoff.** `--eval-after-source` pays LLM latency per chapter rather
than amortising it across one bulk batch. It's worth it when you care about
the git history or want early quality signal, not when you're bulk-backfilling
a known-good corpus.
**Triage during the run.** While processing, use `markitect infospace
chapters` in another shell to see per-source entity/eval/classify counts and
mean scores — handy for spotting chapters that under-extracted or evaluated
poorly.
```
$ markitect infospace chapters
source entities evaluated classified mean_score
------------------- -------- --------- ---------- ----------
book-1-chapter-01 96 96 79 4.22
book-1-chapter-02 16 16 10 4.06
```
---
## See also
- `METRICS-METHODOLOGY.md` — how each metric is computed.
- `docs/composition-guide.md` — using this infospace as a discipline for a
different domain.
- `docs/performance-notes.md` — observed timings and provider choices.

View File

@@ -0,0 +1,106 @@
# Performance Notes — Wealth of Nations Infospace
Observed timings, file sizes, and provider choices from the 988-entity WoN
example. These are **operational notes**, not a benchmark — numbers come
from the actual S3.3 evaluation run (2026-02-23) rather than a controlled
experiment.
---
## Evaluation batch duration
The initial evaluation pass produced 985 `output/evaluations/*.md` files:
- First `evaluated_at`: `2026-02-23T00:11:52`
- Last `evaluated_at`: `2026-02-23T06:39:45`
- **Total wall time: ~6h 28m**
- **Effective throughput: ~2.5 entities/min** (~152 entities/hour)
Extracted from evaluation frontmatter:
```bash
grep -h '^evaluated_at:' output/evaluations/*.md | sort | sed -n '1p;$p'
```
Caveats:
- This was against OpenRouter's free tier, which applies implicit
rate-limiting and occasional retries.
- Throughput is not constant — gaps between bursts show up as plateaus
when you plot the timestamps.
- The batch was not fully parallelised; a tuned concurrent client could
likely 24× this throughput on a paid OpenRouter tier.
---
## Tokens per entity (estimate)
Direct token counts are not logged in the evaluation files, but the
inputs and outputs are on disk:
- **Input per request**: evaluation schema (~3.7 KB) + entity file
(~0.7 KB median) + fixed system prompt ≈ **~15002500 tokens in**
- **Output per request**: structured evaluation with 5 dimensions and
rationales, median eval file 3.6 KB ≈ **~600800 tokens out**
- **Round-trip total**: **~20003000 tokens per entity**
- **Batch total estimate**: 985 entities × ~2500 tokens ≈ **~2.5M tokens**
for the full pass
The constant per-entity input means the cheapest way to reduce spend on a
re-run is to narrow the targeted entities (`--entity <slug>` or
`--chapter <n>`), not to shorten the schema.
---
## Embedding cache and collection checks
`markitect infospace check --concern redundancy` supports two similarity
backends (see `markitect/infospace/checks/redundancy.py`):
- **`word_overlap`** — the default, used when no embeddings are provided.
Pure-Python set intersection over tokenised entity text. **No LLM calls,
no cache needed.** This is what the current WoN check runs.
- **`embedding`** — active when a pre-computed `{slug: vector}` mapping is
passed in. No persistent on-disk embedding cache exists today; the
caller is responsible for computing and supplying the vectors.
Implication: the 988-entity `check` runs in seconds because it's all
word-overlap. Switching to embedding similarity would add an embedding
API pass (another ~988 requests) which is currently a manual step
outside the CLI.
---
## Provider choice — recommendation
For the WoN dataset specifically (text-heavy entities, 5-dimension
rubric):
| Scale | Recommended provider | Rationale |
|-----------------------|----------------------------------|-----------|
| < 50 entities | `gemini/gemini-2.5-flash` | Fast default; free tier is generous enough; consistent with `markitect llm-check` out of the box. |
| 50 1000 entities | `openrouter` with a `:free` model (e.g. `arcee-ai/trinity-large-preview:free`) | What the S3.3 batch used; gets through 988 entities in one overnight run without cost. |
| > 1000 entities | `openrouter` with a paid small-context model, or `openai` | Free-tier rate limits start to dominate wall time; paying for higher concurrency is cheaper than calendar time. |
All providers are accepted by `markitect infospace evaluate --provider`.
The evaluation schema doesn't assume any provider-specific features.
Note on provider mixing: if part of a collection is evaluated under one
provider/model and the rest under another, `per_entity_mean` can drift
slightly (different models calibrate scores differently). For the
viability threshold of 3.5 the drift is usually negligible, but for
fine-grained outlier analysis prefer a single provider per batch.
---
## What is *not* measured here
- **End-to-end pipeline time** (entity extraction from raw chapters,
classification, relation graph) — only the evaluation phase is timed.
- **Memory footprint** — the full in-memory state for 988 entities is
small (< 200 MB observed), but not systematically measured.
- **Failure/retry rates** — the 985 vs 988 gap is three entities the
original run missed (plus one added later); no structured retry log
was kept.
Expanding any of these into a proper benchmark is **out of scope** for
the WoN example and should live alongside a synthetic corpus that can be
regenerated deterministically.

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@@ -17,6 +17,8 @@ schemas:
entity: schemas/economic-entity-schema-v1.0.md
mapping: schemas/vsm-mapping-schema-v1.0.md
analysis: schemas/chapter-analysis-schema-v1.0.md
relation: schemas/relation-schema-v1.0.md
typed_entity: schemas/typed-entity-schema-v1.0.md
competency_questions: |
1. How does Smith's division of labour map to VSM System 1 operations?
@@ -37,6 +39,8 @@ viability:
max: 0
granularity_entropy:
min: 1.0
per_entity_mean:
min: 3.5 # LLM quality score across 5 dimensions (1-5 scale)
pipeline:
stages:

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@@ -0,0 +1,30 @@
---
entity_slug: accumulation_of_stock
entity_type: Process
vsm_system: S3
type_rationale: Accumulation of Stock is described as "the process by which wealth
is gathered and concentrated," emphasizing it as an ongoing activity or transformation
rather than a static entity.
vsm_rationale: This process primarily involves resource allocation and the management
of capital deployment to employ labor and undertake commercial ventures, which is
the core function of S3 management systems.
classified_at: '2026-02-23T10:39:41.206485'
---
# Classification: Accumulation Of Stock
## Entity Type
Process
## VSM System
S3
## Type Rationale
Accumulation of Stock is described as "the process by which wealth is gathered and concentrated," emphasizing it as an ongoing activity or transformation rather than a static entity.
## VSM Rationale
This process primarily involves resource allocation and the management of capital deployment to employ labor and undertake commercial ventures, which is the core function of S3 management systems.

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@@ -0,0 +1,30 @@
---
entity_slug: active_and_productive_stock
entity_type: Element
vsm_system: S1
type_rationale: The entity "Active and Productive Stock" refers to a specific category
of capital resources (materials, tools, provisions, labour) that exists and persists
within the economy.
vsm_rationale: Active and Productive Stock directly represents the capital and resources
actively engaged in the primary productive and distributive activities of the economy,
which is the domain of S1.
classified_at: '2026-02-23T10:33:27.473504'
---
# Classification: Active And Productive Stock
## Entity Type
Element
## VSM System
S1
## Type Rationale
The entity "Active and Productive Stock" refers to a specific category of capital resources (materials, tools, provisions, labour) that exists and persists within the economy.
## VSM Rationale
Active and Productive Stock directly represents the capital and resources actively engaged in the primary productive and distributive activities of the economy, which is the domain of S1.

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@@ -0,0 +1,30 @@
---
entity_slug: adulteration_of_coin_standard
entity_type: Process
vsm_system: S3*
type_rationale: The entity is defined as a "covert practice" and "method of currency
debasement," describing an activity or transformation rather than a static element
or rule.
vsm_rationale: Adulteration of coin standard is a fraudulent practice that directly
undermines the integrity and compliance of the coinage system, which S3* is designed
to monitor and ensure.
classified_at: '2026-02-23T10:33:32.349350'
---
# Classification: Adulteration Of Coin Standard
## Entity Type
Process
## VSM System
S3*
## Type Rationale
The entity is defined as a "covert practice" and "method of currency debasement," describing an activity or transformation rather than a static element or rule.
## VSM Rationale
Adulteration of coin standard is a fraudulent practice that directly undermines the integrity and compliance of the coinage system, which S3* is designed to monitor and ensure.

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@@ -0,0 +1,30 @@
---
entity_slug: adulteration_of_metals
entity_type: Process
vsm_system: S3*
type_rationale: The entity "Adulteration of Metals" is defined as a "fraudulent practice"
of mixing materials, which describes an activity or series of actions rather than
a static element or abstract principle.
vsm_rationale: Adulteration constitutes a breach of integrity within the metal currency
system, directly challenging the S3* function responsible for inspection, compliance,
and ensuring the authenticity of goods through mechanisms like assaying.
classified_at: '2026-02-23T10:33:38.345254'
---
# Classification: Adulteration Of Metals
## Entity Type
Process
## VSM System
S3*
## Type Rationale
The entity "Adulteration of Metals" is defined as a "fraudulent practice" of mixing materials, which describes an activity or series of actions rather than a static element or abstract principle.
## VSM Rationale
Adulteration constitutes a breach of integrity within the metal currency system, directly challenging the S3* function responsible for inspection, compliance, and ensuring the authenticity of goods through mechanisms like assaying.

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@@ -0,0 +1,30 @@
---
entity_slug: adulterine_guilds
entity_type: Institution
vsm_system: S3
type_rationale: Adulterine guilds are described as "unauthorised trade associations
that attempt to exercise corporate privileges," which represents a socially constructed
rule system or governance structure within a trade.
vsm_rationale: Adulterine guilds primarily represent an attempt to exert operational
control and influence resource allocation within a trade, and their toleration by
the crown for fines is a form of revenue management.
classified_at: '2026-02-23T10:33:47.142327'
---
# Classification: Adulterine Guilds
## Entity Type
Institution
## VSM System
S3
## Type Rationale
Adulterine guilds are described as "unauthorised trade associations that attempt to exercise corporate privileges," which represents a socially constructed rule system or governance structure within a trade.
## VSM Rationale
Adulterine guilds primarily represent an attempt to exert operational control and influence resource allocation within a trade, and their toleration by the crown for fines is a form of revenue management.

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@@ -0,0 +1,30 @@
---
entity_slug: advanced_state_of_society
entity_type: Element
vsm_system: S5
type_rationale: The "Advanced State of Society" is a persistent stage or condition
of economic development that exists and serves as a reference point for understanding
economic relationships.
vsm_rationale: The "Advanced State of Society" describes the overarching structure,
identity, and fundamental characteristics of the economic system, akin to a specific
political economy system.
classified_at: '2026-02-23T10:33:53.302785'
---
# Classification: Advanced State Of Society
## Entity Type
Element
## VSM System
S5
## Type Rationale
The "Advanced State of Society" is a persistent stage or condition of economic development that exists and serves as a reference point for understanding economic relationships.
## VSM Rationale
The "Advanced State of Society" describes the overarching structure, identity, and fundamental characteristics of the economic system, akin to a specific political economy system.

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@@ -0,0 +1,30 @@
---
entity_slug: advancing_state_of_manufacture
entity_type: Process
vsm_system: S1
type_rationale: The entity describes a dynamic condition of industrial development
characterized by ongoing expansion of production and demand for labour, which are
continuous activities rather than a static element.
vsm_rationale: The entity directly describes the expanding nature of primary productive
activities within the manufacturing sector, which falls under S1's domain of productive
operations.
classified_at: '2026-02-23T10:33:58.943312'
---
# Classification: Advancing State Of Manufacture
## Entity Type
Process
## VSM System
S1
## Type Rationale
The entity describes a dynamic condition of industrial development characterized by ongoing expansion of production and demand for labour, which are continuous activities rather than a static element.
## VSM Rationale
The entity directly describes the expanding nature of primary productive activities within the manufacturing sector, which falls under S1's domain of productive operations.

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@@ -0,0 +1,30 @@
---
entity_slug: agio_of_bank_money
entity_type: Element
vsm_system: S2
type_rationale: The agio of bank money is a measurable premium or discount that exists
as a persistent market phenomenon, representing the price differential between two
forms of currency rather than being a process or relationship itself.
vsm_rationale: As a price signal that reflects the relative quality and reliability
of different currency forms, the agio serves as a coordination mechanism that helps
market participants navigate between bank money and circulating currency.
classified_at: '2026-02-23T10:39:59.578391'
---
# Classification: Agio Of Bank Money
## Entity Type
Element
## VSM System
S2
## Type Rationale
The agio of bank money is a measurable premium or discount that exists as a persistent market phenomenon, representing the price differential between two forms of currency rather than being a process or relationship itself.
## VSM Rationale
As a price signal that reflects the relative quality and reliability of different currency forms, the agio serves as a coordination mechanism that helps market participants navigate between bank money and circulating currency.

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@@ -0,0 +1,30 @@
---
entity_slug: agricultural_capital
entity_type: Element
vsm_system: S1
type_rationale: Agricultural capital is a stock of resources (both fixed and circulating
capital) that persists as a tangible entity used in production, rather than being
a process or abstract principle.
vsm_rationale: Agricultural capital directly enables primary productive activities
in farming, mining, and fisheries, which are the fundamental operations that create
value in Smith's economic system.
classified_at: '2026-02-23T10:40:02.928726'
---
# Classification: Agricultural Capital
## Entity Type
Element
## VSM System
S1
## Type Rationale
Agricultural capital is a stock of resources (both fixed and circulating capital) that persists as a tangible entity used in production, rather than being a process or abstract principle.
## VSM Rationale
Agricultural capital directly enables primary productive activities in farming, mining, and fisheries, which are the fundamental operations that create value in Smith's economic system.

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@@ -0,0 +1,30 @@
---
entity_slug: agricultural_capital_structure
entity_type: Institution
vsm_system: S3
type_rationale: Agricultural Capital Structure describes a socially constructed system
of ownership and organization of financial resources that establishes incentives
and governs capital deployment within farming.
vsm_rationale: The entity defines the ownership and organization of financial resources,
which directly determines the allocation and operational control of capital within
agricultural production, aligning with S3's focus on resource management.
classified_at: '2026-02-23T10:34:04.081497'
---
# Classification: Agricultural Capital Structure
## Entity Type
Institution
## VSM System
S3
## Type Rationale
Agricultural Capital Structure describes a socially constructed system of ownership and organization of financial resources that establishes incentives and governs capital deployment within farming.
## VSM Rationale
The entity defines the ownership and organization of financial resources, which directly determines the allocation and operational control of capital within agricultural production, aligning with S3's focus on resource management.

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@@ -0,0 +1,30 @@
---
entity_slug: agricultural_comparative_advantage
entity_type: Principle
vsm_system: S4
type_rationale: Agricultural comparative advantage represents an abstract economic
law about relative efficiency that holds across different regions and contexts,
making it a theoretical principle rather than a concrete entity or process.
vsm_rationale: This principle operates within the intelligence system by guiding how
economies adapt to environmental conditions and scan for optimal specialization
opportunities in the international division of agricultural labor.
classified_at: '2026-02-23T10:40:06.319634'
---
# Classification: Agricultural Comparative Advantage
## Entity Type
Principle
## VSM System
S4
## Type Rationale
Agricultural comparative advantage represents an abstract economic law about relative efficiency that holds across different regions and contexts, making it a theoretical principle rather than a concrete entity or process.
## VSM Rationale
This principle operates within the intelligence system by guiding how economies adapt to environmental conditions and scan for optimal specialization opportunities in the international division of agricultural labor.

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@@ -0,0 +1,31 @@
---
entity_slug: agricultural_cultivation
entity_type: Process
vsm_system: S1
type_rationale: Agricultural cultivation is defined as "the practice of preparing
and using land for growing crops and raising livestock" with activities "from soil
preparation to harvest," making it clearly a flow of activities and transformations
with duration rather than something that exists independently.
vsm_rationale: Agricultural cultivation represents the primary productive operations
that transform land, labor, and capital into crops and livestock, which is the fundamental
work of S1 as the system responsible for productive activities.
classified_at: '2026-02-23T10:40:15.846618'
---
# Classification: Agricultural Cultivation
## Entity Type
Process
## VSM System
S1
## Type Rationale
Agricultural cultivation is defined as "the practice of preparing and using land for growing crops and raising livestock" with activities "from soil preparation to harvest," making it clearly a flow of activities and transformations with duration rather than something that exists independently.
## VSM Rationale
Agricultural cultivation represents the primary productive operations that transform land, labor, and capital into crops and livestock, which is the fundamental work of S1 as the system responsible for productive activities.

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@@ -0,0 +1,30 @@
---
entity_slug: agricultural_cultivation_at_farmer_expense
entity_type: Institution
vsm_system: S1
type_rationale: This represents a socially constructed rule system that governs the
relationship between landlords and tenant farmers, establishing norms around capital
provision, rent payment, and tenure security.
vsm_rationale: This system directly organizes primary agricultural production activities
by structuring how farming operations are conducted and capitalized at the most
basic productive level.
classified_at: '2026-02-23T10:40:09.817002'
---
# Classification: Agricultural Cultivation At Farmer Expense
## Entity Type
Institution
## VSM System
S1
## Type Rationale
This represents a socially constructed rule system that governs the relationship between landlords and tenant farmers, establishing norms around capital provision, rent payment, and tenure security.
## VSM Rationale
This system directly organizes primary agricultural production activities by structuring how farming operations are conducted and capitalized at the most basic productive level.

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@@ -0,0 +1,30 @@
---
entity_slug: agricultural_cultivation_at_proprietor_expense
entity_type: Institution
vsm_system: S1
type_rationale: This represents a socially constructed rule system that governs the
relationship between landlords and cultivators, defining who provides capital, who
bears risk, and how produce is distributed.
vsm_rationale: This system directly organizes primary productive activities in agriculture,
determining how farming operations are structured and executed at the foundational
level of economic production.
classified_at: '2026-02-23T10:40:12.639287'
---
# Classification: Agricultural Cultivation At Proprietor Expense
## Entity Type
Institution
## VSM System
S1
## Type Rationale
This represents a socially constructed rule system that governs the relationship between landlords and cultivators, defining who provides capital, who bears risk, and how produce is distributed.
## VSM Rationale
This system directly organizes primary productive activities in agriculture, determining how farming operations are structured and executed at the foundational level of economic production.

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@@ -0,0 +1,30 @@
---
entity_slug: agricultural_demand
entity_type: Element
vsm_system: S2
type_rationale: Agricultural demand is a persistent market force that exists as an
aggregate of consumer preferences and needs for agricultural products, functioning
as a stock of purchasing power directed toward farm produce.
vsm_rationale: Agricultural demand operates as a coordination mechanism that generates
price signals to farmers and landowners, helping to prevent oscillations between
overproduction and underproduction in agricultural markets.
classified_at: '2026-02-23T10:40:18.565060'
---
# Classification: Agricultural Demand
## Entity Type
Element
## VSM System
S2
## Type Rationale
Agricultural demand is a persistent market force that exists as an aggregate of consumer preferences and needs for agricultural products, functioning as a stock of purchasing power directed toward farm produce.
## VSM Rationale
Agricultural demand operates as a coordination mechanism that generates price signals to farmers and landowners, helping to prevent oscillations between overproduction and underproduction in agricultural markets.

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@@ -0,0 +1,32 @@
---
entity_slug: agricultural_development_constraints
entity_type: Institution
vsm_system: S1
type_rationale: Agricultural Development Constraints represents a comprehensive system
of socially constructed rules, laws, and governance structures (primogeniture, entails,
servile labor systems) that collectively formed the institutional framework governing
agricultural production.
vsm_rationale: These constraints operated at the level of primary agricultural operations
by directly limiting the productive activities, investment incentives, and improvement
possibilities within the fundamental agricultural sector that formed the base of
the economic system.
classified_at: '2026-02-23T10:40:22.983960'
---
# Classification: Agricultural Development Constraints
## Entity Type
Institution
## VSM System
S1
## Type Rationale
Agricultural Development Constraints represents a comprehensive system of socially constructed rules, laws, and governance structures (primogeniture, entails, servile labor systems) that collectively formed the institutional framework governing agricultural production.
## VSM Rationale
These constraints operated at the level of primary agricultural operations by directly limiting the productive activities, investment incentives, and improvement possibilities within the fundamental agricultural sector that formed the base of the economic system.

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@@ -0,0 +1,31 @@
---
entity_slug: agricultural_development_sequence
entity_type: Process
vsm_system: S4
type_rationale: The Agricultural Development Sequence is a historical progression
and transformation over time from primitive to advanced farming systems, making
it fundamentally a process rather than a static entity.
vsm_rationale: This sequence represents Smith's analysis of how agricultural systems
adapt and evolve in response to changing legal, social, and economic environments,
which is the intelligence function of scanning and understanding systemic adaptation
patterns.
classified_at: '2026-02-23T10:40:26.001121'
---
# Classification: Agricultural Development Sequence
## Entity Type
Process
## VSM System
S4
## Type Rationale
The Agricultural Development Sequence is a historical progression and transformation over time from primitive to advanced farming systems, making it fundamentally a process rather than a static entity.
## VSM Rationale
This sequence represents Smith's analysis of how agricultural systems adapt and evolve in response to changing legal, social, and economic environments, which is the intelligence function of scanning and understanding systemic adaptation patterns.

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@@ -0,0 +1,30 @@
---
entity_slug: agricultural_economic_potential
entity_type: Element
vsm_system: S1
type_rationale: Agricultural Economic Potential represents a measurable stock or capacity
that exists as an inherent property of agricultural regions, functioning as a noun-like
entity that can be quantified and compared across different territories.
vsm_rationale: This entity belongs to S1 because it represents the fundamental productive
capacity of primary agricultural operations, which form the foundation of economic
activity that Smith analyzes throughout his work.
classified_at: '2026-02-23T10:40:29.696584'
---
# Classification: Agricultural Economic Potential
## Entity Type
Element
## VSM System
S1
## Type Rationale
Agricultural Economic Potential represents a measurable stock or capacity that exists as an inherent property of agricultural regions, functioning as a noun-like entity that can be quantified and compared across different territories.
## VSM Rationale
This entity belongs to S1 because it represents the fundamental productive capacity of primary agricultural operations, which form the foundation of economic activity that Smith analyzes throughout his work.

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@@ -0,0 +1,30 @@
---
entity_slug: agricultural_efficiency
entity_type: Element
vsm_system: S1
type_rationale: Agricultural efficiency is a measurable attribute or property of farming
operations that persists as a characteristic of the agricultural system, rather
than being an activity or process itself.
vsm_rationale: Agricultural efficiency directly relates to the effectiveness of primary
productive activities in farming operations, which constitute the fundamental operational
level of economic production.
classified_at: '2026-02-23T10:40:32.562129'
---
# Classification: Agricultural Efficiency
## Entity Type
Element
## VSM System
S1
## Type Rationale
Agricultural efficiency is a measurable attribute or property of farming operations that persists as a characteristic of the agricultural system, rather than being an activity or process itself.
## VSM Rationale
Agricultural efficiency directly relates to the effectiveness of primary productive activities in farming operations, which constitute the fundamental operational level of economic production.

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@@ -0,0 +1,30 @@
---
entity_slug: agricultural_improvement
entity_type: Process
vsm_system: S1
type_rationale: Agricultural improvement is fundamentally an activity or transformation
that happens over time to enhance farming practices and land productivity, rather
than something that exists as a static entity.
vsm_rationale: Agricultural improvement represents a primary productive activity that
directly enhances the fundamental operations of farming and land cultivation within
the economic system.
classified_at: '2026-02-23T10:40:43.248434'
---
# Classification: Agricultural Improvement
## Entity Type
Process
## VSM System
S1
## Type Rationale
Agricultural improvement is fundamentally an activity or transformation that happens over time to enhance farming practices and land productivity, rather than something that exists as a static entity.
## VSM Rationale
Agricultural improvement represents a primary productive activity that directly enhances the fundamental operations of farming and land cultivation within the economic system.

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@@ -0,0 +1,32 @@
---
entity_slug: agricultural_improvement_discouragement
entity_type: Institution
vsm_system: S5
type_rationale: Agricultural Improvement Discouragement represents a comprehensive
system of feudal rules, laws, and social norms (primogeniture, entails, servile
labor) that governed economic behavior rather than being a physical entity, process,
or abstract principle.
vsm_rationale: This institutional framework operates at the S5 level because it defines
the fundamental identity and purpose of the feudal economic system, establishing
the ultimate authority structures and policy orientations that shaped all lower-level
economic activities.
classified_at: '2026-02-23T10:40:36.572287'
---
# Classification: Agricultural Improvement Discouragement
## Entity Type
Institution
## VSM System
S5
## Type Rationale
Agricultural Improvement Discouragement represents a comprehensive system of feudal rules, laws, and social norms (primogeniture, entails, servile labor) that governed economic behavior rather than being a physical entity, process, or abstract principle.
## VSM Rationale
This institutional framework operates at the S5 level because it defines the fundamental identity and purpose of the feudal economic system, establishing the ultimate authority structures and policy orientations that shaped all lower-level economic activities.

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@@ -0,0 +1,32 @@
---
entity_slug: agricultural_improvement_foundation
entity_type: Institution
vsm_system: S3
type_rationale: An "Agricultural Improvement Foundation" represents a socially constructed
organizational structure designed to govern and systematize efforts toward agricultural
enhancement, fitting the definition of an institution as a rule system or governance
structure.
vsm_rationale: As a foundation focused on agricultural improvement, this entity would
primarily function in resource allocation and operational control by directing capital
and resources toward productive agricultural activities, which aligns with S3 management
functions.
classified_at: '2026-02-23T10:40:40.117120'
---
# Classification: Agricultural Improvement Foundation
## Entity Type
Institution
## VSM System
S3
## Type Rationale
An "Agricultural Improvement Foundation" represents a socially constructed organizational structure designed to govern and systematize efforts toward agricultural enhancement, fitting the definition of an institution as a rule system or governance structure.
## VSM Rationale
As a foundation focused on agricultural improvement, this entity would primarily function in resource allocation and operational control by directing capital and resources toward productive agricultural activities, which aligns with S3 management functions.

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@@ -0,0 +1,30 @@
---
entity_slug: agricultural_labour
entity_type: Process
vsm_system: S1
type_rationale: Agricultural labour is an activity or flow of work that happens over
time in farming and food production, rather than something that exists independently
as a stock or agent.
vsm_rationale: Agricultural labour represents the primary productive operations that
transform inputs into food and agricultural outputs, which is the core function
of S1 in the viable system model.
classified_at: '2026-02-23T10:40:46.305975'
---
# Classification: Agricultural Labour
## Entity Type
Process
## VSM System
S1
## Type Rationale
Agricultural labour is an activity or flow of work that happens over time in farming and food production, rather than something that exists independently as a stock or agent.
## VSM Rationale
Agricultural labour represents the primary productive operations that transform inputs into food and agricultural outputs, which is the core function of S1 in the viable system model.

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@@ -0,0 +1,31 @@
---
entity_slug: agricultural_market_access_cost_structure
entity_type: Element
vsm_system: S2
type_rationale: Agricultural Market Access Cost Structure is a composite stock of
various cost components (transportation costs, trade barriers, taxes, institutional
restrictions) that exists as a persistent barrier affecting market participation.
vsm_rationale: This cost structure primarily functions as a coordination mechanism
that determines whether price signals can effectively connect agricultural producers
to markets, making it fundamentally about the transmission and effectiveness of
market coordination.
classified_at: '2026-02-23T10:40:49.860954'
---
# Classification: Agricultural Market Access Cost Structure
## Entity Type
Element
## VSM System
S2
## Type Rationale
Agricultural Market Access Cost Structure is a composite stock of various cost components (transportation costs, trade barriers, taxes, institutional restrictions) that exists as a persistent barrier affecting market participation.
## VSM Rationale
This cost structure primarily functions as a coordination mechanism that determines whether price signals can effectively connect agricultural producers to markets, making it fundamentally about the transmission and effectiveness of market coordination.

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@@ -0,0 +1,31 @@
---
entity_slug: agricultural_market_access_development_prerequisites
entity_type: Institution
vsm_system: S3
type_rationale: Agricultural Market Access Development Prerequisites represents a
socially constructed rule system encompassing property rights, legal frameworks,
and governance structures that must be established to enable effective agricultural
markets.
vsm_rationale: These prerequisites function as management-level institutional arrangements
that allocate resources and control operations by establishing the foundational
conditions under which agricultural production and exchange can occur efficiently.
classified_at: '2026-02-23T10:40:52.244518'
---
# Classification: Agricultural Market Access Development Prerequisites
## Entity Type
Institution
## VSM System
S3
## Type Rationale
Agricultural Market Access Development Prerequisites represents a socially constructed rule system encompassing property rights, legal frameworks, and governance structures that must be established to enable effective agricultural markets.
## VSM Rationale
These prerequisites function as management-level institutional arrangements that allocate resources and control operations by establishing the foundational conditions under which agricultural production and exchange can occur efficiently.

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@@ -0,0 +1,31 @@
---
entity_slug: agricultural_market_access_development_sequence
entity_type: Process
vsm_system: S4
type_rationale: This entity represents a temporal transformation and evolutionary
activity ("historical progression") that unfolds over time rather than a static
structure or rule, making it fundamentally a process of market development.
vsm_rationale: This process involves scanning and adapting to environmental changes
in institutional frameworks and trade barriers, representing the intelligence function
that enables the economic system to evolve and adapt its market structures over
time.
classified_at: '2026-02-23T10:40:56.674360'
---
# Classification: Agricultural Market Access Development Sequence
## Entity Type
Process
## VSM System
S4
## Type Rationale
This entity represents a temporal transformation and evolutionary activity ("historical progression") that unfolds over time rather than a static structure or rule, making it fundamentally a process of market development.
## VSM Rationale
This process involves scanning and adapting to environmental changes in institutional frameworks and trade barriers, representing the intelligence function that enables the economic system to evolve and adapt its market structures over time.

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@@ -0,0 +1,31 @@
---
entity_slug: agricultural_market_access_gradient
entity_type: Relation
vsm_system: S4
type_rationale: The Agricultural Market Access Gradient represents a structural dependency
between geographical/institutional factors and economic outcomes, functioning as
a causal mechanism that connects location-based advantages to regional development
patterns.
vsm_rationale: This gradient serves as an intelligence function by revealing how environmental
scanning of geographical and institutional conditions determines adaptive capacity
for different regions to engage with broader economic systems.
classified_at: '2026-02-23T10:41:00.548872'
---
# Classification: Agricultural Market Access Gradient
## Entity Type
Relation
## VSM System
S4
## Type Rationale
The Agricultural Market Access Gradient represents a structural dependency between geographical/institutional factors and economic outcomes, functioning as a causal mechanism that connects location-based advantages to regional development patterns.
## VSM Rationale
This gradient serves as an intelligence function by revealing how environmental scanning of geographical and institutional conditions determines adaptive capacity for different regions to engage with broader economic systems.

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---
entity_slug: agricultural_market_access_inequality
entity_type: Relation
vsm_system: S2
type_rationale: Agricultural Market Access Inequality represents a structural dependency
between geographical/institutional factors and farmers' market opportunities, functioning
as a causal link that determines differential outcomes rather than being an entity
that exists independently.
vsm_rationale: This inequality operates primarily through price signal mechanisms
and market coordination failures, where transportation costs and institutional barriers
create systematic disparities in the prices farmers can obtain for their produce
across different regions.
classified_at: '2026-02-23T10:41:04.667548'
---
# Classification: Agricultural Market Access Inequality
## Entity Type
Relation
## VSM System
S2
## Type Rationale
Agricultural Market Access Inequality represents a structural dependency between geographical/institutional factors and farmers' market opportunities, functioning as a causal link that determines differential outcomes rather than being an entity that exists independently.
## VSM Rationale
This inequality operates primarily through price signal mechanisms and market coordination failures, where transportation costs and institutional barriers create systematic disparities in the prices farmers can obtain for their produce across different regions.

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---
entity_slug: agricultural_market_access_opportunity_cost
entity_type: Element
vsm_system: S4
type_rationale: Agricultural Market Access Opportunity Cost represents a measurable
economic value that exists as a consequence of market barriers, functioning as a
persistent stock of foregone wealth rather than a process or relationship.
vsm_rationale: This entity operates within S4 Intelligence as it represents the analytical
framework Smith uses to scan and understand how environmental constraints (institutional
barriers, geography) create adaptation challenges that prevent optimal economic
outcomes.
classified_at: '2026-02-23T10:41:08.777369'
---
# Classification: Agricultural Market Access Opportunity Cost
## Entity Type
Element
## VSM System
S4
## Type Rationale
Agricultural Market Access Opportunity Cost represents a measurable economic value that exists as a consequence of market barriers, functioning as a persistent stock of foregone wealth rather than a process or relationship.
## VSM Rationale
This entity operates within S4 Intelligence as it represents the analytical framework Smith uses to scan and understand how environmental constraints (institutional barriers, geography) create adaptation challenges that prevent optimal economic outcomes.

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---
entity_slug: agricultural_market_communication_channels
entity_type: Element
vsm_system: S2
type_rationale: Agricultural Market Communication Channels are information networks
that exist as persistent infrastructure for transmitting market data, making them
a stock or artifact that exists independently rather than a process or activity.
vsm_rationale: These channels primarily function to transmit price signals and demand
conditions that coordinate agricultural markets by preventing oscillations between
supply and demand, which is the core anti-oscillation function of S2.
classified_at: '2026-02-23T10:41:11.869786'
---
# Classification: Agricultural Market Communication Channels
## Entity Type
Element
## VSM System
S2
## Type Rationale
Agricultural Market Communication Channels are information networks that exist as persistent infrastructure for transmitting market data, making them a stock or artifact that exists independently rather than a process or activity.
## VSM Rationale
These channels primarily function to transmit price signals and demand conditions that coordinate agricultural markets by preventing oscillations between supply and demand, which is the core anti-oscillation function of S2.

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---
entity_slug: agricultural_market_integration
entity_type: Process
vsm_system: S2
type_rationale: Agricultural market integration is an ongoing activity of connecting
markets through trade and transportation that unfolds over time, rather than a static
entity that exists independently.
vsm_rationale: This process primarily functions as a coordination mechanism that enables
price equalization across regions through market signals, which is the core anti-oscillation
function of S2.
classified_at: '2026-02-23T10:41:15.173110'
---
# Classification: Agricultural Market Integration
## Entity Type
Process
## VSM System
S2
## Type Rationale
Agricultural market integration is an ongoing activity of connecting markets through trade and transportation that unfolds over time, rather than a static entity that exists independently.
## VSM Rationale
This process primarily functions as a coordination mechanism that enables price equalization across regions through market signals, which is the core anti-oscillation function of S2.

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---
entity_slug: agricultural_market_size_threshold
entity_type: Element
vsm_system: S2
type_rationale: Agricultural Market Size Threshold represents a measurable stock or
quantity (minimum market size) that exists as a concrete economic parameter determining
when specialization becomes viable.
vsm_rationale: This threshold functions as a coordination mechanism that determines
when price signals and market forces can effectively support specialized agricultural
production and division of labor.
classified_at: '2026-02-23T10:41:18.346754'
---
# Classification: Agricultural Market Size Threshold
## Entity Type
Element
## VSM System
S2
## Type Rationale
Agricultural Market Size Threshold represents a measurable stock or quantity (minimum market size) that exists as a concrete economic parameter determining when specialization becomes viable.
## VSM Rationale
This threshold functions as a coordination mechanism that determines when price signals and market forces can effectively support specialized agricultural production and division of labor.

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---
entity_slug: agricultural_opportunity_cost
entity_type: Principle
vsm_system: S3
type_rationale: Agricultural Opportunity Cost represents an abstract economic law
about the value of foregone alternatives that applies universally across different
agricultural contexts and time periods.
vsm_rationale: This principle operates primarily in the management system where farmers
must allocate scarce land and labor resources among competing uses, making operational
control decisions about production methods and crop selection.
classified_at: '2026-02-23T10:41:21.877352'
---
# Classification: Agricultural Opportunity Cost
## Entity Type
Principle
## VSM System
S3
## Type Rationale
Agricultural Opportunity Cost represents an abstract economic law about the value of foregone alternatives that applies universally across different agricultural contexts and time periods.
## VSM Rationale
This principle operates primarily in the management system where farmers must allocate scarce land and labor resources among competing uses, making operational control decisions about production methods and crop selection.

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---
entity_slug: agricultural_price_ceilings
entity_type: Institution
vsm_system: S5
type_rationale: Agricultural price ceilings are a socially constructed rule system
imposed by government authority to govern market behavior, making them an institutional
framework rather than a natural economic element or process.
vsm_rationale: As government-imposed maximum prices that reflect policy decisions
about protecting consumer interests versus market efficiency, agricultural price
ceilings operate at the level of ultimate authority and purpose that defines the
economic system's identity and values.
classified_at: '2026-02-23T10:41:24.954626'
---
# Classification: Agricultural Price Ceilings
## Entity Type
Institution
## VSM System
S5
## Type Rationale
Agricultural price ceilings are a socially constructed rule system imposed by government authority to govern market behavior, making them an institutional framework rather than a natural economic element or process.
## VSM Rationale
As government-imposed maximum prices that reflect policy decisions about protecting consumer interests versus market efficiency, agricultural price ceilings operate at the level of ultimate authority and purpose that defines the economic system's identity and values.

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---
entity_slug: agricultural_price_differential
entity_type: Relation
vsm_system: S2
type_rationale: The agricultural price differential represents a structural dependency
between market proximity and economic advantage, functioning as a causal mechanism
that links transportation costs to producer profits.
vsm_rationale: This price differential operates as a coordination mechanism that transmits
location-based cost advantages through the price system, helping to coordinate the
spatial allocation of agricultural resources around urban markets.
classified_at: '2026-02-23T10:41:28.540951'
---
# Classification: Agricultural Price Differential
## Entity Type
Relation
## VSM System
S2
## Type Rationale
The agricultural price differential represents a structural dependency between market proximity and economic advantage, functioning as a causal mechanism that links transportation costs to producer profits.
## VSM Rationale
This price differential operates as a coordination mechanism that transmits location-based cost advantages through the price system, helping to coordinate the spatial allocation of agricultural resources around urban markets.

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---
entity_slug: agricultural_price_discovery
entity_type: Process
vsm_system: S2
type_rationale: Agricultural price discovery is described as "the process by which
market prices for agricultural products are established," emphasizing it as an ongoing
activity with duration rather than a static entity.
vsm_rationale: This process operates as a coordination mechanism that uses price signals
to prevent market oscillations and coordinate the interaction between buyers and
sellers in agricultural markets.
classified_at: '2026-02-23T10:41:30.938808'
---
# Classification: Agricultural Price Discovery
## Entity Type
Process
## VSM System
S2
## Type Rationale
Agricultural price discovery is described as "the process by which market prices for agricultural products are established," emphasizing it as an ongoing activity with duration rather than a static entity.
## VSM Rationale
This process operates as a coordination mechanism that uses price signals to prevent market oscillations and coordinate the interaction between buyers and sellers in agricultural markets.

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---
entity_slug: agricultural_price_discrimination
entity_type: Process
vsm_system: S2
type_rationale: Agricultural price discrimination is an ongoing activity of charging
different prices across markets rather than a static entity, making it a process
that unfolds over time through seller behavior.
vsm_rationale: This pricing activity functions as a coordination mechanism that responds
to market conditions and transportation costs to manage price signals across different
markets, which is the core function of S2 anti-oscillation and price coordination.
classified_at: '2026-02-23T10:41:34.481691'
---
# Classification: Agricultural Price Discrimination
## Entity Type
Process
## VSM System
S2
## Type Rationale
Agricultural price discrimination is an ongoing activity of charging different prices across markets rather than a static entity, making it a process that unfolds over time through seller behavior.
## VSM Rationale
This pricing activity functions as a coordination mechanism that responds to market conditions and transportation costs to manage price signals across different markets, which is the core function of S2 anti-oscillation and price coordination.

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---
entity_slug: agricultural_price_elasticity
entity_type: Principle
vsm_system: S2
type_rationale: Agricultural price elasticity is an abstract economic law that describes
how markets consistently respond to price changes across different contexts and
time periods.
vsm_rationale: This principle operates primarily within the coordination system by
governing how price signals translate into quantity adjustments, serving as a fundamental
mechanism for market coordination and anti-oscillation behavior.
classified_at: '2026-02-23T10:41:37.063488'
---
# Classification: Agricultural Price Elasticity
## Entity Type
Principle
## VSM System
S2
## Type Rationale
Agricultural price elasticity is an abstract economic law that describes how markets consistently respond to price changes across different contexts and time periods.
## VSM Rationale
This principle operates primarily within the coordination system by governing how price signals translate into quantity adjustments, serving as a fundamental mechanism for market coordination and anti-oscillation behavior.

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---
entity_slug: agricultural_price_equalization
entity_type: Process
vsm_system: S2
type_rationale: Agricultural Price Equalization is a market mechanism that actively
operates over time to align prices across different locations, representing an ongoing
activity rather than a static entity or abstract principle.
vsm_rationale: This mechanism functions as a coordination system that uses price signals
to prevent oscillations and maintain market stability by incorporating transportation
costs into price differentials across geographic locations.
classified_at: '2026-02-23T10:41:40.169776'
---
# Classification: Agricultural Price Equalization
## Entity Type
Process
## VSM System
S2
## Type Rationale
Agricultural Price Equalization is a market mechanism that actively operates over time to align prices across different locations, representing an ongoing activity rather than a static entity or abstract principle.
## VSM Rationale
This mechanism functions as a coordination system that uses price signals to prevent oscillations and maintain market stability by incorporating transportation costs into price differentials across geographic locations.

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---
entity_slug: agricultural_price_floors
entity_type: Institution
vsm_system: S5
type_rationale: Agricultural price floors are a socially constructed rule system established
by government to govern market behavior through minimum pricing requirements.
vsm_rationale: Price floors represent policy-level decisions about the fundamental
purpose and identity of economic intervention, reflecting ultimate governmental
authority over market structures.
classified_at: '2026-02-23T10:41:43.377347'
---
# Classification: Agricultural Price Floors
## Entity Type
Institution
## VSM System
S5
## Type Rationale
Agricultural price floors are a socially constructed rule system established by government to govern market behavior through minimum pricing requirements.
## VSM Rationale
Price floors represent policy-level decisions about the fundamental purpose and identity of economic intervention, reflecting ultimate governmental authority over market structures.

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---
entity_slug: agricultural_price_mechanism
entity_type: Process
vsm_system: S2
type_rationale: The agricultural price mechanism is described as a "market process"
that involves ongoing activities of price determination through supply and demand
interactions, making it a flow or activity rather than a static entity.
vsm_rationale: This mechanism primarily functions as a coordination system that uses
price signals to communicate information about scarcity and abundance, preventing
oscillations between oversupply and shortage in agricultural markets.
classified_at: '2026-02-23T10:41:46.176833'
---
# Classification: Agricultural Price Mechanism
## Entity Type
Process
## VSM System
S2
## Type Rationale
The agricultural price mechanism is described as a "market process" that involves ongoing activities of price determination through supply and demand interactions, making it a flow or activity rather than a static entity.
## VSM Rationale
This mechanism primarily functions as a coordination system that uses price signals to communicate information about scarcity and abundance, preventing oscillations between oversupply and shortage in agricultural markets.

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---
entity_slug: agricultural_price_regulation
entity_type: Institution
vsm_system: S3
type_rationale: Agricultural price regulation represents a socially constructed rule
system that governs market behavior through formal government mechanisms and legal
frameworks.
vsm_rationale: This entity operates primarily in the management system by controlling
resource allocation and operational decisions in agricultural markets through direct
price intervention mechanisms.
classified_at: '2026-02-23T10:41:48.637652'
---
# Classification: Agricultural Price Regulation
## Entity Type
Institution
## VSM System
S3
## Type Rationale
Agricultural price regulation represents a socially constructed rule system that governs market behavior through formal government mechanisms and legal frameworks.
## VSM Rationale
This entity operates primarily in the management system by controlling resource allocation and operational decisions in agricultural markets through direct price intervention mechanisms.

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---
entity_slug: agricultural_price_stability
entity_type: Element
vsm_system: S2
type_rationale: Agricultural price stability is a measurable state or condition that
can exist independently as a characteristic of markets, making it a stock-like element
rather than a process or relation.
vsm_rationale: Price stability functions as a coordination mechanism that dampens
market oscillations and provides consistent signals for economic decision-making,
which is the core anti-oscillation function of S2.
classified_at: '2026-02-23T10:41:51.650766'
---
# Classification: Agricultural Price Stability
## Entity Type
Element
## VSM System
S2
## Type Rationale
Agricultural price stability is a measurable state or condition that can exist independently as a characteristic of markets, making it a stock-like element rather than a process or relation.
## VSM Rationale
Price stability functions as a coordination mechanism that dampens market oscillations and provides consistent signals for economic decision-making, which is the core anti-oscillation function of S2.

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---
entity_slug: agricultural_price_transmission
entity_type: Process
vsm_system: S2
type_rationale: Agricultural price transmission is described as "the process by which
price changes in one agricultural market or region affect prices in other markets,"
clearly identifying it as an activity or flow that happens over time rather than
something that exists independently.
vsm_rationale: This process operates through price signals that coordinate markets
by transmitting information about supply and demand conditions across regions, which
is the core coordination function of S2 in preventing oscillations and maintaining
market equilibrium.
classified_at: '2026-02-23T10:41:55.918616'
---
# Classification: Agricultural Price Transmission
## Entity Type
Process
## VSM System
S2
## Type Rationale
Agricultural price transmission is described as "the process by which price changes in one agricultural market or region affect prices in other markets," clearly identifying it as an activity or flow that happens over time rather than something that exists independently.
## VSM Rationale
This process operates through price signals that coordinate markets by transmitting information about supply and demand conditions across regions, which is the core coordination function of S2 in preventing oscillations and maintaining market equilibrium.

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---
entity_slug: agricultural_price_volatility
entity_type: Element
vsm_system: S2
type_rationale: Agricultural price volatility is a measurable characteristic or property
of agricultural markets that persists as an observable phenomenon, making it a stock-like
element rather than a process or relation.
vsm_rationale: Price volatility functions as part of the coordination system that
provides market signals about supply and demand conditions, helping to regulate
economic oscillations in agricultural markets.
classified_at: '2026-02-23T10:41:59.184645'
---
# Classification: Agricultural Price Volatility
## Entity Type
Element
## VSM System
S2
## Type Rationale
Agricultural price volatility is a measurable characteristic or property of agricultural markets that persists as an observable phenomenon, making it a stock-like element rather than a process or relation.
## VSM Rationale
Price volatility functions as part of the coordination system that provides market signals about supply and demand conditions, helping to regulate economic oscillations in agricultural markets.

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---
entity_slug: agricultural_productivity
entity_type: Element
vsm_system: S1
type_rationale: Agricultural productivity is a measurable characteristic or capacity
of agricultural land and labor that persists as a stock-like property, representing
the efficiency potential that exists independently rather than being a process or
activity itself.
vsm_rationale: Agricultural productivity directly relates to the primary productive
operations of the economy, as it measures the efficiency of the fundamental agricultural
labor and land use that constitutes the basic productive activities Smith analyzes.
classified_at: '2026-02-23T10:42:07.242630'
---
# Classification: Agricultural Productivity
## Entity Type
Element
## VSM System
S1
## Type Rationale
Agricultural productivity is a measurable characteristic or capacity of agricultural land and labor that persists as a stock-like property, representing the efficiency potential that exists independently rather than being a process or activity itself.
## VSM Rationale
Agricultural productivity directly relates to the primary productive operations of the economy, as it measures the efficiency of the fundamental agricultural labor and land use that constitutes the basic productive activities Smith analyzes.

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---
entity_slug: agricultural_productivity_limits
entity_type: Relation
vsm_system: S1
type_rationale: Agricultural Productivity Limits represents a structural dependency
between institutional arrangements (labor systems, capital ownership) and farming
efficiency outcomes, functioning as a causal mechanism that connects different organizational
forms to their productivity consequences.
vsm_rationale: This entity operates within S1 as it directly constrains and shapes
the primary productive activities of agricultural labor, determining how effectively
farming operations can generate output.
classified_at: '2026-02-23T10:42:03.110025'
---
# Classification: Agricultural Productivity Limits
## Entity Type
Relation
## VSM System
S1
## Type Rationale
Agricultural Productivity Limits represents a structural dependency between institutional arrangements (labor systems, capital ownership) and farming efficiency outcomes, functioning as a causal mechanism that connects different organizational forms to their productivity consequences.
## VSM Rationale
This entity operates within S1 as it directly constrains and shapes the primary productive activities of agricultural labor, determining how effectively farming operations can generate output.

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---
entity_slug: agricultural_security_gradient
entity_type: Relation
vsm_system: S5
type_rationale: The Agricultural Security Gradient represents a structural dependency
between legal protection levels and agricultural improvement outcomes, functioning
as a causal mechanism that connects different tenure systems to their economic results.
vsm_rationale: This gradient operates at the policy level by establishing the fundamental
relationship between legal frameworks and economic outcomes, representing how different
governance structures regarding property rights determine the overall purpose and
identity of agricultural systems.
classified_at: '2026-02-23T10:42:10.707477'
---
# Classification: Agricultural Security Gradient
## Entity Type
Relation
## VSM System
S5
## Type Rationale
The Agricultural Security Gradient represents a structural dependency between legal protection levels and agricultural improvement outcomes, functioning as a causal mechanism that connects different tenure systems to their economic results.
## VSM Rationale
This gradient operates at the policy level by establishing the fundamental relationship between legal frameworks and economic outcomes, representing how different governance structures regarding property rights determine the overall purpose and identity of agricultural systems.

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---
entity_slug: agricultural_spatial_inequality
entity_type: Element
vsm_system: S1
type_rationale: Agricultural Spatial Inequality represents a persistent economic condition
or state that exists as a measurable disparity between regions, rather than being
a process, relationship, or rule system.
vsm_rationale: This inequality fundamentally concerns the primary productive operations
of agriculture and the differential outcomes these operations produce across different
spatial locations.
classified_at: '2026-02-23T10:42:14.138288'
---
# Classification: Agricultural Spatial Inequality
## Entity Type
Element
## VSM System
S1
## Type Rationale
Agricultural Spatial Inequality represents a persistent economic condition or state that exists as a measurable disparity between regions, rather than being a process, relationship, or rule system.
## VSM Rationale
This inequality fundamentally concerns the primary productive operations of agriculture and the differential outcomes these operations produce across different spatial locations.

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---
entity_slug: agricultural_specialization
entity_type: Process
vsm_system: S1
type_rationale: Agricultural specialization is described as "the concentration of
agricultural production" which represents an ongoing activity or transformation
in how farming is organized and conducted, rather than a static entity that exists
independently.
vsm_rationale: Agricultural specialization operates as a primary productive activity
that directly transforms how crops and livestock are produced, making it a core
operational process within the primary production system.
classified_at: '2026-02-23T10:42:17.253509'
---
# Classification: Agricultural Specialization
## Entity Type
Process
## VSM System
S1
## Type Rationale
Agricultural specialization is described as "the concentration of agricultural production" which represents an ongoing activity or transformation in how farming is organized and conducted, rather than a static entity that exists independently.
## VSM Rationale
Agricultural specialization operates as a primary productive activity that directly transforms how crops and livestock are produced, making it a core operational process within the primary production system.

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---
entity_slug: agricultural_stock
entity_type: Element
vsm_system: S1
type_rationale: Agricultural Stock is a tangible collection of capital goods (livestock,
implements, seeds) that exists as a persistent stock necessary for farming operations.
vsm_rationale: This stock directly enables primary productive activities in agriculture,
which represents the fundamental operational level of economic production in Smith's
framework.
classified_at: '2026-02-23T10:42:21.075344'
---
# Classification: Agricultural Stock
## Entity Type
Element
## VSM System
S1
## Type Rationale
Agricultural Stock is a tangible collection of capital goods (livestock, implements, seeds) that exists as a persistent stock necessary for farming operations.
## VSM Rationale
This stock directly enables primary productive activities in agriculture, which represents the fundamental operational level of economic production in Smith's framework.

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---
entity_slug: agricultural_supply
entity_type: Element
vsm_system: S1
type_rationale: Agricultural supply represents a measurable quantity of products that
exists as a stock in the market at any given time, making it a persistent entity
rather than a process or relationship.
vsm_rationale: Agricultural supply constitutes the fundamental productive output from
primary agricultural operations, which are the core productive activities that form
the foundation of the economic system.
classified_at: '2026-02-23T10:42:24.047470'
---
# Classification: Agricultural Supply
## Entity Type
Element
## VSM System
S1
## Type Rationale
Agricultural supply represents a measurable quantity of products that exists as a stock in the market at any given time, making it a persistent entity rather than a process or relationship.
## VSM Rationale
Agricultural supply constitutes the fundamental productive output from primary agricultural operations, which are the core productive activities that form the foundation of the economic system.

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---
entity_slug: agricultural_surplus
entity_type: Element
vsm_system: S1
type_rationale: Agricultural surplus is a tangible stock of excess produce that exists
as a measurable quantity beyond subsistence requirements, making it a persistent
entity rather than a process or abstract principle.
vsm_rationale: Agricultural surplus emerges directly from primary productive activities
in farming and cultivation, representing the fundamental output of agricultural
operations that enables all other economic activity.
classified_at: '2026-02-23T10:42:30.142977'
---
# Classification: Agricultural Surplus
## Entity Type
Element
## VSM System
S1
## Type Rationale
Agricultural surplus is a tangible stock of excess produce that exists as a measurable quantity beyond subsistence requirements, making it a persistent entity rather than a process or abstract principle.
## VSM Rationale
Agricultural surplus emerges directly from primary productive activities in farming and cultivation, representing the fundamental output of agricultural operations that enables all other economic activity.

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---
entity_slug: agricultural_surplus_determination
entity_type: Process
vsm_system: S3
type_rationale: Agricultural surplus determination is an economic calculation and
activity that happens over time to assess excess production, rather than being a
static entity that exists independently.
vsm_rationale: This determination process involves the fundamental management function
of resource allocation by calculating how much agricultural output can be allocated
beyond subsistence needs to support urban development and commercial activities.
classified_at: '2026-02-23T10:42:27.311214'
---
# Classification: Agricultural Surplus Determination
## Entity Type
Process
## VSM System
S3
## Type Rationale
Agricultural surplus determination is an economic calculation and activity that happens over time to assess excess production, rather than being a static entity that exists independently.
## VSM Rationale
This determination process involves the fundamental management function of resource allocation by calculating how much agricultural output can be allocated beyond subsistence needs to support urban development and commercial activities.

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---
entity_slug: agricultural_systems_of_political_economy
entity_type: Institution
vsm_system: S5
type_rationale: Agricultural Systems of Political Economy represents a socially constructed
rule system and governance structure that establishes norms about how economic value
should be understood and policy should be directed.
vsm_rationale: This system operates at the S5 level because it defines the fundamental
identity and purpose of political economy itself, establishing the ultimate authority
and philosophical foundation for how a nation should organize its economic activities.
classified_at: '2026-02-23T10:42:33.295942'
---
# Classification: Agricultural Systems Of Political Economy
## Entity Type
Institution
## VSM System
S5
## Type Rationale
Agricultural Systems of Political Economy represents a socially constructed rule system and governance structure that establishes norms about how economic value should be understood and policy should be directed.
## VSM Rationale
This system operates at the S5 level because it defines the fundamental identity and purpose of political economy itself, establishing the ultimate authority and philosophical foundation for how a nation should organize its economic activities.

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---
entity_slug: agricultural_technology
entity_type: Element
vsm_system: S1
type_rationale: Agricultural technology represents a collection of persistent tools,
techniques, and methods that exist as tangible and intangible assets used in farming
operations, making it a stock or artifact that endures over time.
vsm_rationale: Agricultural technology directly enables and enhances the primary productive
activities of farming, which constitute the fundamental operational work of agricultural
production in the economic system.
classified_at: '2026-02-23T10:42:39.582919'
---
# Classification: Agricultural Technology
## Entity Type
Element
## VSM System
S1
## Type Rationale
Agricultural technology represents a collection of persistent tools, techniques, and methods that exist as tangible and intangible assets used in farming operations, making it a stock or artifact that endures over time.
## VSM Rationale
Agricultural technology directly enables and enhances the primary productive activities of farming, which constitute the fundamental operational work of agricultural production in the economic system.

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---
entity_slug: agricultural_technology_adoption
entity_type: Process
vsm_system: S1
type_rationale: Agricultural Technology Adoption represents an ongoing activity or
transformation where new technologies are implemented and integrated into agricultural
practices over time, making it a process rather than a static entity.
vsm_rationale: This process directly relates to primary productive activities in agriculture,
which constitutes the fundamental operational level of economic production in Smith's
framework.
classified_at: '2026-02-23T10:42:36.580748'
---
# Classification: Agricultural Technology Adoption
## Entity Type
Process
## VSM System
S1
## Type Rationale
Agricultural Technology Adoption represents an ongoing activity or transformation where new technologies are implemented and integrated into agricultural practices over time, making it a process rather than a static entity.
## VSM Rationale
This process directly relates to primary productive activities in agriculture, which constitutes the fundamental operational level of economic production in Smith's framework.

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---
entity_slug: agricultural_trade
entity_type: Process
vsm_system: S1
type_rationale: Agricultural trade is described as "the exchange of agricultural products
between different regions or countries" which represents an ongoing activity or
flow rather than a static entity that exists independently.
vsm_rationale: Agricultural trade constitutes a primary productive activity that moves
agricultural goods between regions, functioning as a core operational process that
enables economic specialization and resource distribution.
classified_at: '2026-02-23T10:42:42.441163'
---
# Classification: Agricultural Trade
## Entity Type
Process
## VSM System
S1
## Type Rationale
Agricultural trade is described as "the exchange of agricultural products between different regions or countries" which represents an ongoing activity or flow rather than a static entity that exists independently.
## VSM Rationale
Agricultural trade constitutes a primary productive activity that moves agricultural goods between regions, functioning as a core operational process that enables economic specialization and resource distribution.

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---
entity_slug: alien_merchant_duties
entity_type: Institution
vsm_system: S3*
type_rationale: Alien Merchant Duties represent a socially constructed rule system
that governs how foreign merchants can operate within domestic markets, functioning
as a regulatory framework rather than a physical entity or process.
vsm_rationale: These duties operate as an audit and compliance mechanism that inspects
and controls foreign merchant activities to ensure adherence to protectionist policies,
fitting Beer's S3* function of monitoring and enforcement.
classified_at: '2026-02-23T10:42:45.901525'
---
# Classification: Alien Merchant Duties
## Entity Type
Institution
## VSM System
S3*
## Type Rationale
Alien Merchant Duties represent a socially constructed rule system that governs how foreign merchants can operate within domestic markets, functioning as a regulatory framework rather than a physical entity or process.
## VSM Rationale
These duties operate as an audit and compliance mechanism that inspects and controls foreign merchant activities to ensure adherence to protectionist policies, fitting Beer's S3* function of monitoring and enforcement.

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---
entity_slug: ancient_system_of_political_economy
entity_type: Institution
vsm_system: S5
type_rationale: The Ancient System of Political Economy represents a socially constructed
rule system and governance structure that organized economic activity around agricultural
development as the foundation of national wealth.
vsm_rationale: This system operates at the policy level by defining the fundamental
identity and purpose of economic organization, establishing agriculture as the ultimate
authority for wealth creation before modern commercial systems emerged.
classified_at: '2026-02-23T10:42:49.015962'
---
# Classification: Ancient System Of Political Economy
## Entity Type
Institution
## VSM System
S5
## Type Rationale
The Ancient System of Political Economy represents a socially constructed rule system and governance structure that organized economic activity around agricultural development as the foundation of national wealth.
## VSM Rationale
This system operates at the policy level by defining the fundamental identity and purpose of economic organization, establishing agriculture as the ultimate authority for wealth creation before modern commercial systems emerged.

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---
entity_slug: annual_coinage_expense_justification
entity_type: Relation
vsm_system: S3*
type_rationale: This entity represents a structural dependency between government
coinage operations and public expenditure, specifically the causal link that connects
unnecessary public costs to the lack of proper seignorage mechanisms.
vsm_rationale: This justification operates within the audit function by examining
the integrity and compliance of government coinage operations, specifically whether
public expenditure on minting serves legitimate public purposes or represents wasteful
subsidy.
classified_at: '2026-02-23T10:42:52.647161'
---
# Classification: Annual Coinage Expense Justification
## Entity Type
Relation
## VSM System
S3*
## Type Rationale
This entity represents a structural dependency between government coinage operations and public expenditure, specifically the causal link that connects unnecessary public costs to the lack of proper seignorage mechanisms.
## VSM Rationale
This justification operates within the audit function by examining the integrity and compliance of government coinage operations, specifically whether public expenditure on minting serves legitimate public purposes or represents wasteful subsidy.

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---
entity_slug: annual_consumption_of_goods
entity_type: Process
vsm_system: S1
type_rationale: Annual consumption of goods represents a flow or activity that occurs
over time rather than something that exists independently, as it describes the ongoing
process of using up produced goods within a year.
vsm_rationale: This process represents the final stage of primary economic operations
where the goods produced through agricultural labor, manufacturing, and trade are
actually consumed by society.
classified_at: '2026-02-23T10:42:56.059406'
---
# Classification: Annual Consumption Of Goods
## Entity Type
Process
## VSM System
S1
## Type Rationale
Annual consumption of goods represents a flow or activity that occurs over time rather than something that exists independently, as it describes the ongoing process of using up produced goods within a year.
## VSM Rationale
This process represents the final stage of primary economic operations where the goods produced through agricultural labor, manufacturing, and trade are actually consumed by society.

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---
entity_slug: annual_consumption_of_metals
entity_type: Process
vsm_system: S1
type_rationale: Annual consumption of metals is an ongoing activity involving the
continuous use and depletion of precious metals through wear, damage, and industrial
processes over time, making it a flow rather than a static entity.
vsm_rationale: This consumption represents primary productive and industrial activities
that physically transform and utilize precious metals as inputs in the real economy's
operations.
classified_at: '2026-02-23T10:42:59.628828'
---
# Classification: Annual Consumption Of Metals
## Entity Type
Process
## VSM System
S1
## Type Rationale
Annual consumption of metals is an ongoing activity involving the continuous use and depletion of precious metals through wear, damage, and industrial processes over time, making it a flow rather than a static entity.
## VSM Rationale
This consumption represents primary productive and industrial activities that physically transform and utilize precious metals as inputs in the real economy's operations.

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---
entity_slug: annual_importation_of_gold_and_silver_purposes
entity_type: Process
vsm_system: S4
type_rationale: This represents an ongoing economic activity - the flow of importing
precious metals for specific commercial purposes - rather than a static entity or
abstract principle.
vsm_rationale: This process involves analyzing and understanding the environmental
function of precious metals in facilitating foreign trade, which constitutes intelligence
gathering about how the economic system adapts to international commerce needs.
classified_at: '2026-02-23T10:43:03.286972'
---
# Classification: Annual Importation Of Gold And Silver Purposes
## Entity Type
Process
## VSM System
S4
## Type Rationale
This represents an ongoing economic activity - the flow of importing precious metals for specific commercial purposes - rather than a static entity or abstract principle.
## VSM Rationale
This process involves analyzing and understanding the environmental function of precious metals in facilitating foreign trade, which constitutes intelligence gathering about how the economic system adapts to international commerce needs.

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---
entity_slug: annual_industry_employed_in_production
entity_type: Element
vsm_system: S1
type_rationale: Annual Industry Employed in Production represents a measurable stock
of productive capacity that exists as a persistent resource within the economic
system, rather than being an activity or process itself.
vsm_rationale: This entity represents the fundamental productive operations that create
commodities and bring them to market, which is the core function of S1 primary operations
in Beer's model.
classified_at: '2026-02-23T10:43:06.707076'
---
# Classification: Annual Industry Employed In Production
## Entity Type
Element
## VSM System
S1
## Type Rationale
Annual Industry Employed in Production represents a measurable stock of productive capacity that exists as a persistent resource within the economic system, rather than being an activity or process itself.
## VSM Rationale
This entity represents the fundamental productive operations that create commodities and bring them to market, which is the core function of S1 primary operations in Beer's model.

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