Skill Auditor

The skill-auditor allows AI agents to verify the integrity, safety, and compliance of other skills within an ecosystem. It acts as a gatekeeper by scanning metadata, checking for malicious code patterns, and ensuring that installed modules meet defined security standards before execution.

When to use it

• Before deploying a new skill in a production environment to prevent supply chain attacks.
• To validate that third-party plugins adhere to your organization's specific data privacy policies.
• When auditing the dependency graph of a complex agent workflow for hidden vulnerabilities.
• To ensure newly released community skills have not been tampered with since publication.

Key capabilities

• Automated scanning of skill metadata and source code artifacts.
• Detection of known vulnerability signatures and suspicious behavior patterns.
• Compliance verification against configurable security rulesets.
• Generation of detailed audit reports highlighting potential risks.

Example prompts

• "Run a full security audit on the 'data-analyzer' skill before I install it into my workflow."
• "Check if this newly published plugin complies with our GDPR data handling requirements."
• "Scan the entire library of installed skills for any known CVEs or malicious injections."

Tips & gotchas

Ensure you have read access to the source repositories or metadata endpoints of the skills you intend to audit, as the agent cannot inspect private code without permissions. While effective at detecting static issues, this skill may not catch runtime exploits that only appear during active execution.