skill-vetter

To perform AI skill vetting, run the 'vet' command on the target skill to execute a security-first check. This process identifies malicious patterns, evaluates permission scope, and generates a detailed risk classification report for safe installation.

AI skill vetting is a security-first assessment process that categorizes installation risks from low to extreme. It evaluates code origin, permission scope, and suspicious patterns to produce a detailed security vetting report.

Yes, you can automate security checks for GitHub-hosted AI skills using the Quick Vet commands. This automated vetting feature evaluates the skill's source, reviews code for malicious patterns, and outputs a risk assessment report.

Yes, AI skill vetting evaluates required file and network permission scopes during the security review. It checks the permission scope to identify red flags and ensures the skill operates within safe access boundaries.

Automated code review for AI agent skills focuses on identifying suspicious patterns and permission scopes but relies on establishing trust hierarchies based on skill sources and authors. It outputs a detailed vetting report to guide manual security decisions.