generated from coulomb/repo-seed
tegwick
4f5df8ee5b
Honest first-pass maturity vector grounded in README/docs/tests present in this repo; no invented evidence. Flagged for human review before publish. See reuse-surface history/2026-07-06-coverage-classification.md. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
121 lines
3.8 KiB
Markdown
121 lines
3.8 KiB
Markdown
---
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id: capability.agents.cli-assistant
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name: Console-Native LLM Assistant (cya)
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summary: Console-native, backend-agnostic assistant CLI that expresses user intent in natural language
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and returns safe, explainable, context-aware help.
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owner: can-you-assist
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status: draft
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domain: agents
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tags:
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- cli
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- assistant
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- llm
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- safety
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maturity:
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discovery:
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current: D2
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target: D4
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confidence: medium
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rationale: README documents the MVP slice (CYA-WP-0001), the LLMAdapter seam, and the rule-based risk-classification
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safety layer; no separate INTENT/SCOPE file found.
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availability:
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current: A2
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target: A3
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confidence: medium
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rationale: Installable today via `pip install -e .`; ships a working CLI (`cya "..."`, `--explain-context`)
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with a FakeLLMAdapter default and optional real llm-connect backend.
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external_evidence:
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completeness:
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level: C1
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confidence: low
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basis: scope_vs_intent_and_consumer_expectations
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satisfied_expectations:
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- natural-language CLI entry point
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- context-explain mode
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- mandatory confirmation for destructive/privileged/mass-edit/network actions
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broken_expectations: []
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out_of_scope_expectations: []
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reliability:
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level: R0
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confidence: low
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basis: consumer_quality_signals
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known_reliability_risks:
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- MVP slice only; real llm-connect backend optional/not always configured
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discovery:
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intent: Let users express intent in natural language from the terminal and receive safe, explainable,
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context-aware help, without owning LLM inference or memory storage itself.
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includes:
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- CLI orchestration and UX
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- rule-based risk classification and confirmation gating
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- LLMAdapter seam to llm-connect
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excludes:
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- LLM inference (owned by llm-connect)
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- memory storage (owned by phase-memory)
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assumptions: []
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use_cases: []
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research_memos: []
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availability:
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current_level: A2
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target_level: A3
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current_artifacts:
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- '`cya` CLI package, pip-installable'
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target_artifacts: []
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consumption_modes:
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- cli
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relations:
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depends_on: []
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supports: []
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related_to: []
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evidence:
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documentation:
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- README.md
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tests:
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- tests/
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consumer_feedback: []
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bug_reports: []
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incidents: []
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consumer_guidance:
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recommended_for:
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- shell-based workflows wanting a safety-gated natural-language assistant
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not_recommended_for:
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- needs beyond the first MVP slice (CYA-WP-0001)
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known_limitations:
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- first narrow MVP slice; FakeLLMAdapter is the default, real backend is optional
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promotion_history: []
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---
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# Console-Native LLM Assistant (cya)
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## Overview
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`cya` is the CLI surface for the capabilities domain: it owns orchestration, UX, and a safety layer, and talks to `llm-connect` only through a stable `LLMAdapter` boundary, keeping memory under `phase-memory`.
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## Assessment notes
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### Discovery
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README documents the MVP slice (CYA-WP-0001), the LLMAdapter seam, and the rule-based risk-classification safety layer; no separate INTENT/SCOPE file found.
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### Availability
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Installable today via `pip install -e .`; ships a working CLI (`cya "..."`, `--explain-context`) with a FakeLLMAdapter default and optional real llm-connect backend.
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### Completeness
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First-pass honest assessment from the REUSE-WP-0017 coverage campaign
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(reuse-surface). No external consumer feedback exists yet; levels reflect
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scope-vs-intent documentation quality, not internal code quality.
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### Reliability
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No production consumer telemetry exists yet; reliability level is
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intentionally conservative pending REUSE-WP-0019 reuse-telemetry evidence.
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## Promotion checklist
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- [x] ID follows `capability.<domain>.<name>` pattern
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- [x] Maturity enums match `specs/CapabilityMaturityStandard.md`
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- [x] `external_evidence` is populated separately from `maturity`
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- [ ] Relations reference valid capability IDs (none yet)
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- [x] Index entry added in `registry/indexes/capabilities.yaml`
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