Security Audit

The security-audit skill enables AI agents to systematically review system configurations, codebases, and deployment pipelines for vulnerabilities. It identifies misconfigurations, outdated dependencies, and potential attack vectors without requiring manual inspection of every line of code.

When to use it

• Before deploying new infrastructure or microservices to production environments.
• During pre-commit workflows to catch security flaws early in the development cycle.
• When analyzing third-party libraries or open-source dependencies for known CVEs.
• As part of a regular compliance check against industry standards like OWASP Top 10.

Key capabilities

• Scans configuration files (e.g., Docker, Kubernetes, AWS) for insecure settings.
• Detects hardcoded secrets, API keys, and sensitive data exposure in code.
• Identifies outdated software packages with known security vulnerabilities.
• Generates prioritized remediation steps based on risk severity.

Example prompts

• "Run a full security audit on my Docker Compose setup and list any exposed ports or missing network policies."
• "Scan this Python repository for hardcoded credentials and suggest how to use environment variables instead."
• "Check if my Node.js project is using outdated dependencies with known CVEs and provide upgrade recommendations."

Tips & gotchas

Ensure the AI agent has read access to all relevant files and secrets management systems before initiating an audit. While powerful, automated scans may produce false positives; always validate findings manually before applying fixes in production.