skill-vetter

Vetting AI skills for security risks involves applying a structured protocol that executes source checks, mandatory code review, permission scope analysis, and risk classification to generate a formal safety report before enabling any skill.

An AI agent skill risk assessment includes a stepwise vetting protocol that evaluates the skill source, enforces mandatory code review, analyzes permission scopes, and assigns a risk classification to guide secure integration decisions.

Yes, you can use this vetting process for AI skills from GitHub, ClawdHub, or other sources. It applies a structured vetting protocol to evaluate any skill's metadata and codebase before enabling the integration.

Performing a mandatory code review on an AI agent skill requires running a structured vetting protocol on the skill's codebase and metadata to enforce security checks, scope permissions, and output a formal safety report.

Classifying risks before enabling an AI skill ensures secure, trusted integrations in security-sensitive environments. It provides a formal safety report based on mandatory checks and permission scope analysis to prevent vulnerabilities.