audit-skills

Static analysis on AI skills detects security vulnerabilities by reviewing code for malicious patterns, privilege escalation indicators, and obfuscated payloads without executing the audited code. It identifies data exposure risks across cross-platform packages.

Yes, you can audit community AI skill bundles for hidden malware by scanning for suspicious commands, persistence mechanisms, and obfuscation. This generates a security report with risk scores and mitigation recommendations.

Static security analysis for AI packages identifies unsafe behaviors and information disclosure risks before deployment. You need it when validating community skills or assessing cross-platform security concerns in untrusted AI bundles.

Yes, static analysis detects cross-platform threats in AI skill packages by evaluating Windows, macOS, Linux/Unix, and mobile-related security concerns. It identifies platform-specific privilege escalation and data leak patterns.

Static analysis for detecting obfuscated payloads in AI skills is limited by its inability to execute code, meaning it may miss dynamically generated malicious behaviors or runtime privilege escalation that only trigger during execution.