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agent-security-audit

Audit AI agent configurations for security risks per OWASP LLM Top 10.

5|1|Updated Mar 5, 2026
Search Tags:#owasp#ai security#prompt injection#guardrails#data exfiltration#agent audit
One-click install
npx skills add https://github.com/cmaenner/agent-security-playbook --skill agent-security-audit-cmaenner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-security-audit
Source: https://github.com/cmaenner/agent-security-playbook/tree/main/skills/agent-security-audit
Command: npx skills add https://github.com/cmaenner/agent-security-playbook --skill agent-security-audit-cmaenner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps identify and mitigate security vulnerabilities in AI agents, ensuring they operate safely and do not pose risks to your systems or data.

Core Features & Use Cases

  • Permission Auditing: Detects excessive or unnecessary permissions granted to AI agents.
  • Prompt Injection Detection: Analyzes inputs for potential prompt injection vulnerabilities.
  • Data Exfiltration Prevention: Identifies pathways through which sensitive data could be leaked.
  • Guardrail Assessment: Evaluates the presence and effectiveness of safety mechanisms.
  • Use Case: Review an AI agent's configuration before deployment to ensure it adheres to security best practices and minimizes attack surfaces.

Quick Start

Audit the security posture of the AI agent configuration provided.

Frequently Asked Questions about agent-security-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit AI agent configurations for security risks?▼

To audit AI agent configurations, analyze CLAUDE.md files, MCP configurations, and agent orchestration code to identify excessive permissions, prompt injection vulnerabilities, and data exfiltration paths according to OWASP LLM Top 10 guidelines.

What is an AI agent security audit?▼

An AI agent security audit evaluates agent configurations to identify security weaknesses, checking for inadequate guardrails, excessive permissions, and potential data exfiltration pathways before deployment to minimize attack surfaces.

How do I detect prompt injection vulnerabilities in my AI agents?▼

Detect prompt injection vulnerabilities by analyzing agent inputs and configurations against OWASP LLM Top 10 guidelines to identify unsafe processing pathways and implement effective guardrails.

Can I check MCP configurations for data exfiltration pathways?▼

Yes, you can check MCP configurations for data exfiltration pathways by analyzing the agent orchestration code and configuration files to identify routes through which sensitive data could be leaked.

Does this security audit evaluate guardrails for OWASP LLM Top 10 compliance?▼

Yes, the security audit evaluates the presence and effectiveness of safety guardrails to ensure AI agents adhere to security best practices and comply with OWASP LLM Top 10 guidelines.

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