AI & LLM Security
OfficialTest AI apps for jailbreak and injection
Education & Research#ai security#prompt injection#llm security#red teaming#rag security#model supply chain#jailbreak testing
AuthorGhostPWN
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you assess the security of AI and LLM-powered systems before they are deployed or trusted, especially when they can be manipulated by untrusted prompts, retrieved documents, or tool calls.
Core Features & Use Cases
- Threat modeling: Map an AI application against the OWASP LLM Top 10 and MITRE ATLAS to identify prompt injection, sensitive data exposure, excessive agency, and supply chain risks.
- Prompt injection testing: Run structured direct, indirect, and obfuscated jailbreak tests to see whether a model reveals secrets, ignores instructions, or abuses tools.
- Model artifact scanning: Check model files and checkpoints for unsafe deserialization patterns that could execute code on load.
- Use case: A security reviewer can evaluate a RAG chatbot, test whether retrieved content can drive tool actions, and confirm whether model files are safe to load.
Quick Start
Ask me to assess an authorized AI application for prompt injection, agent/tool-use risks, and unsafe model artifacts.
Dependency Matrix
Required Modules
requests
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: AI & LLM Security Download link: https://github.com/GhostPWN/ghostpwn/archive/main.zip#ai-llm-security Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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