skill-validator

To automate quality assessment for Claude skills, you can use a validator that scores a skill's SKILL.md file against a 9-category rubric and generates a structured validation report with actionable remediation guidance.

A standardized rubric for validating AI skill quality is a 9-category scoring framework that evaluates structure, content quality, user interaction, documentation, technical robustness, maintainability, zero-shot implementation, and reusability to produce a pass or fail verdict.

Yes, the skill validator works with any SKILL.md file by evaluating the target skill's content and linked references to ensure compatibility across various domains and technical implementations.

You generate a pass/fail quality report by running the validator against a target skill to score its production-level criteria, which outputs a structured validation report suitable for auditing and continuous improvement.

The best way to evaluate zero-shot implementation and reusability is using an automated validator that scores these specific categories within a 9-criteria rubric, providing actionable remediation guidance for any identified gaps.