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agentic-ai-risk-assess

Assess agentic AI applications against the OWASP Top 10 for Agentic Applications.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the unique security challenges posed by agentic AI applications, helping to identify and mitigate risks before they can be exploited.

Core Features & Use Cases

  • Comprehensive Risk Assessment: Evaluates applications against the OWASP Top 10 for Agentic Applications.
  • Detailed Analysis: Covers risks like goal hijacking, tool misuse, identity abuse, and more.
  • Use Case: A security team needs to audit a new autonomous AI agent designed for customer support. They use this Skill to ensure the agent doesn't have vulnerabilities that could lead to data leaks or unauthorized actions.

Quick Start

Assess the security risks of the agentic AI application using the agentic-ai-risk-assess skill.

Frequently Asked Questions about agentic-ai-risk-assess

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

FAQPage Schema
How do I assess agentic AI applications against the OWASP Top 10?▼

To assess agentic AI applications against the OWASP Top 10, analyze the architecture, agent behavior, tool usage, and communication protocols to identify vulnerabilities like goal hijacking and rogue agent behavior.

What security risks affect autonomous AI agents in multi-agent systems?▼

Security risks in autonomous AI agents include goal hijacking, tool misuse, privilege abuse, and rogue agent behavior. These vulnerabilities exploit communication protocols and tool usage in multi-agent systems.

How do I audit a customer support AI agent for unauthorized actions?▼

Auditing a customer support AI agent involves evaluating its architecture and tool usage to identify unauthorized actions and data leaks. This assesses if the agent has vulnerabilities that could be exploited.

Does this risk assessment cover tool misuse and identity abuse in agentic workflows?▼

Yes, the risk assessment covers tool misuse and identity abuse in agentic workflows. It evaluates applications against the OWASP Top 10 for Agentic Applications to synthesize findings and provide remediation.

What is the best way to secure communication protocols for autonomous AI agents?▼

Securing communication protocols for autonomous AI agents requires analyzing the architecture and agent behavior to identify rogue agent behavior. This process synthesizes findings to provide targeted remediation strategies.

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