What problem does it solve? AI-generated skills accumulate quality drift over time: missing frontmatter fields, truncated sections, duplicate headings, and references to skills that do not exist. This Skill provides a repeatable weekly review process to detect and fix those issues across the user-local skill collection. ## Core Features & Use Cases - Frontmatter Validation: Checks every SKILL.md for required fields like name, description, version, author, license, platforms, and metadata tags. - Content & Structure Checks: Detects orphaned bullets, duplicate sections, trailing whitespace, and hallucinated skill references. - Guided Patching: Applies small fixes via patch operations and verifies each change by re-reading the file. - Use Case: Run the weekly skill-quality-review cron job to scan all skills under ~/.hermes/skills/, patch missing platforms fields, and produce a summary report of passes and fixes. ## Quick Start Review all my local skills for frontmatter drift and structural issues, then patch any problems and summarize the results.
