skill-vetter

Vetting an AI agent skill for security risks involves analyzing its source reputation, scanning source code for malicious patterns, and evaluating permission requests to classify the skill into Low, Medium, High, or Extreme risk levels.

A pre-installation security audit is a vetting protocol that identifies red flags, suspicious code, and excessive permission requests in AI agent skills to prevent malware introduction and unauthorized data access before installation.

Assess the risk level of a skill from an unknown repository by executing a security-first vetting protocol that scans for malicious patterns and permission scope, classifying the threat into Low, Medium, High, or Extreme risk categories.

Yes, you can detect malware and data exfiltration attempts by performing a security audit that inspects the skill's code for malicious patterns and unauthorized access requests prior to installation.

Automated risk assessment limitations include relying on pattern detection and permission scope analysis, which may not catch novel obfuscation techniques or zero-day vulnerabilities hidden within the skill's source code.