skillguard

To scan AgentSkill packages for prompt injection and data exfiltration risks, place SkillGuard in your tooling and run a local skill audit. It uses multi-layer analysis to detect credential theft, code injection, and evasion techniques before installation.

The best way to audit AI skills for credential theft is using a multi-layer security scanner. SkillGuard applies pattern scanning, AST checks, and prompt-injection analysis to identify and report actionable risk signals in local and registry-sourced skills.

SkillGuard works with both ClawHub-sourced skills and local files. It integrates seamlessly with ClawHub to provide consistent risk reporting and security auditing across all skill sources before you install them.

Context-aware scoring minimizes false positives during code injection scanning by evaluating risks tailored to the skill's declared capabilities. This approach highlights actionable risk signals rather than flagging benign code patterns indiscriminately.

You should use a security audit tool because manually reviewing files misses complex evasion techniques. SkillGuard uses a three-layer approach combining fast pattern scanning, AST checks, and prompt manipulation analysis to surface hidden vulnerabilities.

You need to run a security audit on AI agent skills before installation. Auditing identifies credential theft, prompt manipulation, and data exfiltration risks early, helping teams avoid deploying unsafe skills into their production environments.