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skill-complylisted

Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines. Use when a rule's or skill's real adherence is in question or right after adding one — "is this rule actually being followed?", "measure how often this skill fires", "/skill-comply". NOT for — static quality stocktakes (→ skill-stocktake / rules-stocktake), reference-integrity checks (→ skill-health), with/without ablation (→ skill-creator §5).
shimo4228/claude-harness · ★ 3 · AI & Automation · score 82
Install: claude install-skill shimo4228/claude-harness
# 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 # Full run uv run --frozen --project ~/.claude/skills/skill-comply python -m scripts.run ~/.claude/rules/common/testing.md # Dry run (no cost, spec + scenarios only) uv run --frozen --project ~/.claude/skills/skill-comply python -m scripts.run --dry-run ~/.claude/skills/search-first/SKILL.md # Custom models uv run --frozen --project ~/.claude/skills/skill-compl