agentic-ai-risk-assess
Assess agentic AI applications against the OWASP Top 10 for Agentic Applications 2026. Use when reviewing autonomous AI agents, multi-agent systems, or agentic workflows for security risks including goal hijacking, tool misuse, privilege abuse, and rogue agent behavior.
- Installs
- 130
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/owasp/secure-agent-playbook --skill agentic-ai-risk-assess- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads agentic-ai-risk-assess automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Agentic AI Risk Assessment
Evaluate agentic AI applications against all 10 risk categories by following the full procedure in plays/agentic-ai-risk-assess.md.
Steps
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Architecture Mapping — Identify agent type (single/multi-agent), autonomy level, tool ecosystem, memory systems, inter-agent communication protocols, and human oversight mechanisms.
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Assess Each Agentic Top 10 Risk:
- ASI01 Agent Goal Hijack — Hidden prompts, instruction override, silent exfiltration via copilot patterns
- ASI02 Tool Misuse — Legitimate tools bent into destructive outputs, tool parameter manipulation
- ASI03 Identity & Privilege Abuse — Leaked credentials, excessive permissions, agent operating beyond scope
- ASI04 Agentic Supply Chain — Poisoned MCP/A2A components, runtime component tampering, dynamic ecosystem risks
- ASI05 Unexpected Code Execution — Natural language execution paths leading to RCE, code generation vulnerabilities
- ASI06 Memory & Context Poisoning — Long-term behavior manipulation via memory attacks, context window exploits
- ASI07 Insecure Inter-Agent Communication — Spoofed messages, man-in-the-middle between agents, cluster misdirection
- ASI08 Cascading Failures — False signals propagating through automated pipelines, escalating impact chains
- ASI09 Human-Agent Trust Exploitation — Confident misleading explanations, social engineering of human operators
- ASI10 Rogue Agents — Misalignment, concealment, self-directed action, emergent harmful behavior
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Synthesize Findings — Assign severity based on exploitability and deployment context. Provide code locations, configuration gaps, and concrete remediation.
Output
Architecture overview, risk matrix (all 10 categories with status), detailed findings using templates/finding.md, positive controls observed, and prioritized recommendations.
OWASP References
- OWASP Top 10 for Agentic Applications 2026
- OWASP GenAI Security Project
- OWASP Agentic Security Initiative
FAQ
What does the agentic-ai-risk-assess skill do?
Assess agentic AI applications against the OWASP Top 10 for Agentic Applications 2026. Use when reviewing autonomous AI agents, multi-agent systems, or agentic workflows for security risks including goal hijacking, tool misuse, privilege abuse, and rogue agent behavior.
How do I install agentic-ai-risk-assess?
Run npx skills add https://github.com/owasp/secure-agent-playbook --skill agentic-ai-risk-assess in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/agentic-ai-risk-assess/ (personal) or .claude/skills/agentic-ai-risk-assess/ (project).
Which AI agents can use agentic-ai-risk-assess?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is agentic-ai-risk-assess safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains agentic-ai-risk-assess?
It is published by owasp in owasp/secure-agent-playbook. It has 130 recorded installs.
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