Individual skill
agent-owasp-check
Use when auditing an AI agent system against the OWASP Agentic Security Initiative Top 10 — checks tool access, prompt boundaries, memory handling, and operational safeguards across the agent pipeline.
skills/security/agent-owasp-check/SKILL.md
Source commit 76ee15b3b90d544cfffa70421a8788fda0f4ebba
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 48
- Repository last updated
- Nov 5, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- copilot-cli Repository topic
- developer-tools Repository topic
- github-copilot Repository topic
- mcp Repository topic
- orchestration Repository topic
- security Derived category
- security-application Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
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Read excerpt
# Agent OWASP Check
Audit an AI agent system against the OWASP Agentic Security Initiative (ASI) Top 10.
Use this when you need a focused agent-security workflow rather than a broad repository
scorecard.
## When to Use
- Reviewing a repository that exposes agent, MCP, or LLM execution paths
- Before deploying a new multi-agent workflow or tool-using assistant
- When onboarding a new MCP server, tool layer, or prompt orchestration pattern
- During a security review of an AI-powered product feature
## When NOT to Use