skill-security-auditor

To scan AI agent skills for security vulnerabilities, use a static analysis tool that checks Python, shell, and markdown files for malicious code execution, prompt injection, and supply chain risks. This provides a comprehensive audit report with a PASS, WARN, or FAIL verdict.

Prompt injection detection works by performing static analysis on markdown documentation to identify attempts to hijack AI behavior or bypass safety guardrails. It flags dangerous patterns that try to manipulate the agent's instructions or override built-in safety configurations.

Yes, you can audit third-party agent skills written in Python and shell scripts. The scanner performs static analysis on these files to detect dangerous patterns like command injection, unauthorized network access, and insecure code execution configurations.

The best way to verify supply chain risks is by scanning configuration files for typosquatted dependencies and unpinned versions. This detects vulnerable or malicious third-party packages before you install the agent plugins into your environment.

The limitations of static analysis for AI agent security audits include relying on predefined dangerous patterns rather than runtime behavior. While it detects malicious code, prompt injection, and supply chain risks, it may miss dynamically generated attacks or complex logical vulnerabilities.

You need a security scanner for AI agent skill directories to protect your environment from malicious code, prompt injection, and supply chain vulnerabilities. It ensures the safe installation of third-party plugins by identifying insecure configurations and dangerous execution patterns.