Audit SKILL.md files against a 16-item normalization checklist.
npx skills add https://github.com/simota/agent-skills --skill gauge
Please help me install this Agent Skill. Skill: gauge Source: https://github.com/simota/agent-skills/tree/main/gauge Command: npx skills add https://github.com/simota/agent-skills --skill gauge
This Skill ensures all AI agent skills (SKILL.md files) adhere to a strict normalization checklist, identifying and suggesting fixes for compliance issues, and continuously improving its own auditing capabilities.
SKILL.md files against 16 specific criteria.SKILL.md to ensure it meets ecosystem standards before it can be integrated.Run a compliance audit on the 'weather' skill using the 16-item checklist.
High-intent search queries and answers about installing and using this skill.
Audit SKILL.md files by scanning them against a 16-item normalization checklist, which classifies violations with priority rankings and generates actionable fix snippets for remediation.
A normalization audit evaluates AI agent skills against strict ecosystem criteria, assigning PASS, PARTIAL, or FAIL status to ensure newly created agents meet integration standards before deployment.
Fix compliance violations by applying the concrete code snippets generated during the audit, which provide specific remediation steps based on the detected P0-P3 priority ranking.
Yes, the checklist can self-evolve by researching emerging best practices via web scraping and safely updating its own detection patterns and checklist criteria.
Yes, running a markdown compliance audit requires Python libraries specifically for markdown parsing and web scraping to evaluate files and research best practices.
An agent fails the ecosystem standards check when its SKILL.md file violates the 16-item normalization checklist, resulting in a PARTIAL or FAIL classification that requires generated fix snippets.
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