ai-agent-security

ai-agent-security is a Penetration testing & red team skill for AI agents, published by brucesongs in the kali-claw repository on GitHub. Skillspace rates ai-agent-security F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Offensive security testing of AI agent systems covering MCP server attacks, tool poisoning, indirect prompt injection against agents, RAG knowledge base poisoning, agent sandbox escape, multi-agent compromise chains, and autonomous agent hijacking — using MCP security testers, HexStrike AI, AI-Infra-Guard, custom agent harness probes, and prompt injection toolkits.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
39

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
87 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • exfiltration language
  • accesses sensitive system files
  • reads environment variables
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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