skill-complylisted

# skill-comply: Automated Compliance Measurement Measures whether coding agents actually follow skills, rules, or agent definitions by: 1. Auto-generating expected behavioral sequences (specs) from any .md file 2. Auto-generating scenarios with decreasing prompt strictness (supportive → neutral → competing) 3. Running `claude -p` and capturing tool call traces via stream-json 4. Classifying tool calls against spec steps using LLM (not regex) 5. Checking temporal ordering deterministically 6. Generating self-contained reports with spec, prompts, and timelines ## Supported Targets - **Skills** (`skills/*/SKILL.md`): Workflow skills like search-first, TDD guides - **Rules** (`rules/common/*.md`): Mandatory rules like testing.md, security.md, debugging.md - **Agent definitions** (`agents/*.md`): Whether an agent gets invoked when expected (internal workflow verification not yet supported) ## When to Activate - User runs `/skill-comply <path>` - User asks "is this rule actually being followed?" - After adding new rules/skills, to verify agent compliance - Periodically as part of quality maintenance ## Usage ```bash # 前提: scripts/ と pyproject.toml はこのスキルのディレクトリにあり、 # `python -m scripts.run` の解決は cwd 依存のため、まずスキルディレクトリへ cd する # （`uv run --project` だけでは module 解決できないことを 2026-07-13 に実測確認） cd ~/.claude/skills/skill-comply # Full run uv run python -m scripts.run ~/.claude/rules/common/testing.md # Dry run (no cost, spec + scenarios only) uv run python -m scripts.run --dry-run ~/