Imported from owasp/secure-agent-playbook (
plugins/ai-security-skills/skills/agent-security-audit/SKILL.md). Install upstream withnpx skills add owasp/secure-agent-playbook --skill agent-security-audit. Copyright stays with the author (CC-BY-4.0).
Agent Security Audit
Evaluate an AI agent's security posture by following the full procedure in plays/agent-security-audit.md.
Steps
-
Permission Inventory — Enumerate every tool, MCP server, file system path, network access, and credential the agent has. Flag capabilities beyond what its stated purpose requires.
-
Prompt Injection Surface Analysis — For each input path (user messages, tool outputs, MCP resources, RAG documents), assess whether crafted input could cause the agent to invoke unintended tools, override instructions, or exfiltrate data.
-
Excessive Agency Assessment (OWASP LLM06) — Check whether destructive/irreversible actions require confirmation, whether access exceeds need, whether the agent can escalate its own privileges, and whether individually-safe tool calls can chain into harmful outcomes.
-
Data Exfiltration Path Analysis — Map how sensitive data could leave the agent boundary: secrets passed to external tools, file contents in web requests, cross-MCP-server data forwarding, sensitive data in logs.
-
Tool-Call Injection Assessment — For each tool: can user-controlled input reach tool parameters unsanitized? Check for command injection, path traversal, SSRF, and SQL injection through agent-constructed calls.
-
Guardrail Evaluation — Check for system prompt safety instructions, tool call confirmations, output filtering, rate limiting, audit logging, and sandboxing.
Output
Use the finding format from templates/finding.md. Produce a Permission Summary table, Risk Findings, Injection Surface Map, and prioritized Recommendations.
OWASP References
- LLM01: Prompt Injection
- LLM02: Insecure Output Handling
- LLM06: Excessive Agency
- LLM07: System Prompt Leakage
- LLM08: Vector and Embedding Weaknesses