skill-evaluator

To audit AI skills for publish readiness, you evaluate them against a multi-framework rubric covering 25 criteria including security, reliability, and maintainability. This process combines automated structural checks with manual assessment to ensure quality.

A skill evaluation rubric is a structured scoring framework that assesses quality across 25 criteria like functional suitability, performance, and agent-specific heuristics. It works by guiding both automated syntax checks and manual reviews to verify reliability.

Yes, you can use a detailed rubric to check code quality before publishing by running automated structural validation and security scans. This ensures the skill adheres to best practices and functions correctly according to defined criteria.

The skill evaluation process requires both automated structural checks and manual assessment. Automated checks handle syntax and security scanning, while the manual rubric guides human or AI evaluation across 25 quality and reliability criteria.

The best way to perform a security review on AI agent skills is using a multi-framework rubric that includes dedicated security scans and structural validation. This identifies risks and ensures the tool meets publish-readiness standards before deployment.