W1: Document user-scope MCP config location in ~/.claude/CLAUDE.md —
adds verification and re-registration commands, warns against
settings.json (saves ~12K tokens per registration session).
W2: scripts/register_project.sh + make register-project —
5-step automation: API health → topic lookup → MCP check →
CLAUDE.md from template → progress event.
W3: state-hub/scripts/project_claude_md.template —
parameterised CLAUDE.md with {PROJECT_NAME}/{DOMAIN}/{TOPIC_ID}
placeholders; used by register_project.sh.
W4: Add custodian_topic_id + domain to all 6 canon project charters —
lets agents grep for topic IDs without touching the API.
W5: state-hub/mcp_server/TOOLS.md — compact 30-line tool reference
card; replaces reading the full server.py (~350 lines).
W6: Switch .mcp.json to absolute path + PYTHONPATH env so cwd is not
required; add scripts/patch_mcp_cwd.py for post-registration fix.
Update ~/.claude.json to match (cwd kept for belt-and-suspenders).
W7 (SessionStart hook) deferred: no SessionStart hook type in Claude
Code; PreToolUse with empty matcher fires before every tool call.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1.4 KiB
1.4 KiB
id, type, title, status, owners, created, updated, scope, tags, custodian_topic_id, domain
| id | type | title | status | owners | created | updated | scope | tags | custodian_topic_id | domain | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CUST-PRJ-FOER-2026-000001 | charter | Foerster Capabilities — Project Charter v0.1 | active |
|
2026-02-24 | 2026-02-24 |
|
|
64418556-3206-457a-ba29-6884b5b12cf3 | foerster_capabilities |
Foerster Capabilities — Project Charter v0.1
Purpose
Create a systems-theoretic taxonomy of computational agency grounded in Foerster’s Non-Trivial Machines, integrating behavior, resources, interaction properties, and governability.
Problem
Existing capability classifications are fragmented (complexity, architecture, AI tasks, cybernetics, governance/risk). We lack a shared multidimensional map.
Outcome
A rigorous capability space:
- dimensions such as governability, reliability, adaptivity, reflexivity, autonomy/sovereignty
- operational tests / indicators where possible
- mappings from systems (agents/services/orgs) into the space
- connections to governance and risk controls
Boundaries (v0.1)
- Establish vocabulary, dimension definitions, and orthogonality discussions.
- Produce diagrams and examples rather than chasing completeness.
Success criteria (v0.1)
- A paper-grade outline + a stable diagrammatic “map”.
- A small library of example classifications (LLM agent, company process, service).