ai Security Auditor

Fortify Your AI Agents

The AI Security Auditor is a specialized developer tool designed to rigorously evaluate AI agent configurations, prompt templates, and tool integrations. As agents move from sandboxes to production, the risk of prompt injection, data leakage, and excessive agency becomes a critical bottleneck. This skill systematically applies the 2025 OWASP Top 10 for LLM Applications to your codebase, identifying vulnerabilities that standard linters miss.

What it does

• Injection Detection: Scans prompts for direct and indirect injection vectors, including second-order threats from RAG pipelines or tool outputs.
• Permission Boundary Auditing: Evaluates MCP servers and tool definitions to identify overly permissive access to filesystems, networks, or databases.
• Data Leakage Prevention: Scans system prompts and conversation logs for PII, secrets, and hardcoded credentials.
• Agency Assessment: Analyzes "Excessive Agency" risks, ensuring high-impact actions have proper human-in-the-loop gates.

Why use this skill?

Prompt engineering is insecure by default. This skill automates the security review process, providing a structured audit report with prioritized remediations. Instead of generic "be safe" advice, you get concrete findings mapped to specific lines of code, helping you build "Security by Design" into your AI workflows.

Supported Frameworks

Works across all major agent frameworks and MCP (Model Context Protocol) setups. It produces professional audit reports suitable for security reviews and compliance documentation.