What problem does it solve? Skill authors lack objective feedback on whether their SKILL.md files follow house style and writing-for-agents techniques, so weak skills ship unnoticed until they fail in practice. ## Core Features & Use Cases - Composite scoring: Combines mechanical checks (frontmatter, description budget, structure rules) with an LLM judge into a 0-100 worst-first scorecard. - Telemetry overlay: When the memory store is reachable, behavioral signals like abandoned or frequently-failing skills float measurable writing failures to the top. - Read-only by design: The audit never mutates skills, has no fix mode, and guards against prompt injection inside skill bodies. - Use Case: Run the audit before a release to identify which shipped skills have the weakest trigger descriptions or bloated bodies, then hand the worst offenders to authors for revision. ## Quick Start Ask the assistant to run /audit-skills and show the worst-first scorecard for all shipped skills.