What problem does it solve? Skill authors lack a structured way to verify that their SKILL.md files follow Anthropic's official authoring best practices, leading to poorly discoverable, oversized, or malformed skills that fail to activate reliably. ## Core Features & Use Cases - Scored 5-Dimension Audit: Evaluates frontmatter validity, body quality, structure and progressive disclosure, anti-pattern detection, and discoverability on a 10-point scale with a letter grade. - Regression Risk Check: Compares the current SKILL.md against its last git commit to flag breaking changes like renamed skills or removed trigger phrases. - Automated Fix Generation: Produces an optimized version of the file with corrected frontmatter and inline suggestion comments, writing to disk only after explicit confirmation. - Use Case: After drafting a new skill, ask for a review to receive a scored report listing errors, warnings, and suggestions, then accept a corrected version before publishing. ## Quick Start Ask the assistant to review and score the SKILL.md file at a specific path against skill authoring best practices.