skill-comply
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
npx skills add mturac/everything-openai-codex --skill skill-comply --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 `codex -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, git-workflow.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 python -m scripts.run ~/.codex/rules/common/testing.
- Supported Targets
- When to Activate
- Usage
- Key Concept: Prompt Independence
- Report Contents
- Advanced (optional)
Full run uv run python -m scripts.run ~/.codex/rules/common/testing.md Dry run (no cost, spec + scenarios only) uv run python -m scripts.run --dry-run ~/.codex/skills/search-first/SKILL.md Custom models uv run python -m scripts.run --gen-model fast --model standard <path>
What does the skill-comply skill do?
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
How do I install it?
Run `npx skills add mturac/everything-openai-codex --skill skill-comply --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.