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    ai-security-auditor

    by Zicheng Liao

    Comprehensive security auditing for AI agents, covering prompt injection, tool permissions, and data leakage risks.

    Updated Jun 2026
    0 installs

    Free

    Included in download

    • Downloadable skill package
    • 1 permission declared
    • Instant install

    See it in action

    A real example of what this skill takes in and produces.

    Sample output

    AI Security Audit Report

    ID | Severity | Category | Finding | Remediation F1 | CRITICAL | Prompt Injection | User input concatenated in agent.py:42 | Use structured roles or delimiters. F2 | HIGH | Excessive Agency | Tool delete_db lacks human approval gate | Implement an approval ladder.

    About This Skill

    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.

    Use Cases

    • Scan system prompts for potential prompt injection and role-bypass risks.
    • Audit MCP server tool definitions for overly permissive filesystem access.
    • Identify hardcoded API keys and secrets hidden within agent configurations.
    • Evaluate RAG pipelines for retrieval poisoning and context window exposure.
    • Generate structured security reports for production deployment readiness.

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell

    File Scopes

    ai-security-auditor/**

    Tags

    security
    ai-agents
    owasp
    prompt-engineering
    cybersecurity
    devops

    Creator

    Zicheng Liao

    Frequently Asked Questions

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