skill-vetter

To vet AI agent skills before installation, run a multi-step protocol that validates the source, performs mandatory code review, evaluates permission scope, and classifies risk levels to prevent unsafe code execution.

Evaluating AI skills from sources like ClawdHub or GitHub involves a multi-step vetting workflow: source validation, mandatory code review, permission scope assessment, and automatic risk classification with actionable recommendations.

You check the permission scope of an AI agent skill by applying a vetting protocol that assesses requested permissions, automatically classifies risk levels, and provides actionable recommendations before running the code.

Yes, you can generate an audit trail for AI skill security reviews by producing a standardized, integration-ready vetting report that documents source validation, code review, and risk classification for compliance.

The skill vetting workflow provides automatic risk classification for untrusted code, categorizing evaluated skills into distinct risk levels and delivering actionable recommendations to ensure safety before installation.