ai-agent-framework-attack
ai-agent-framework-attack is a Penetration testing & red team skill for AI agents, published by brucesongs in the kali-claw repository on GitHub. Skillspace rates ai-agent-framework-attack F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
AI agent framework attack surface — orchestration-layer compromise of LangChain (Python/JS), LangGraph, CrewAI, Microsoft AutoGen, OpenAI Assistants API v2, Anthropic Claude Agent SDK, LlamaIndex, Microsoft Semantic Kernel, Google ADK, SmolAgents, and MCP-integrated agent runtimes. Covers tool poisoning (Simon Willison 2025 research), indirect prompt injection via untrusted tool outputs, tool rug-pull attacks (npm/PyPI dependency confusion in agent toolkits), LangChain SSRF via RequestsTool / SqlQueryTool / PythonREPLTool (CVE-2024-21514 area, CVE-2024-43480 area), CrewAI tool RCE via decorators (CVE-2024-10231 area), AutoGen code executor escape (Docker/code execution services), OpenAI Assistants API code_interpreter abuse, Claude Agent SDK MCP injection, LangGraph state injection via checkpoint poisoning, LlamaIndex query engine injection, MCP server poisoning (Anthropic/rug-pull.com research Nov 2024), tool description injection, agent memory poisoning, Retrieval-Augmented…
- 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
- 89 / 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
- prompt-injection: ignore-previous
- exfiltration language
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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