Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/gmh5225/awesome-ai-security --skill llm-attacks-security- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads llm-attacks-security automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
LLM Security Attacks
Scope
Use this skill when working on:
- Prompt injection attacks and defenses
- LLM jailbreaking techniques
- Training data extraction
- Model output manipulation
- AI safety bypasses
Common LLM Vulnerabilities (Cheat Sheet)
Prompt Injection
- Direct injection (user prompt manipulation)
- Indirect injection (via external data sources)
- System prompt extraction
- Role-play attacks
- Encoding/obfuscation bypasses
Jailbreaking
- DAN (Do Anything Now) prompts
- Character roleplay escapes
- Multi-turn manipulation
- Token smuggling
- Crescendo attacks
Data Extraction
- Training data memorization extraction
- PII leakage from context
- System prompt disclosure
- API key/secret extraction
- Model architecture probing
Model Manipulation
- Output steering
- Hallucination exploitation
- Bias amplification
- Harmful content generation
OWASP LLM Top 10 Reference
- LLM01 - Prompt Injection
- LLM02 - Insecure Output Handling
- LLM03 - Training Data Poisoning
- LLM04 - Model Denial of Service
- LLM05 - Supply Chain Vulnerabilities
- LLM06 - Sensitive Information Disclosure
- LLM07 - Insecure Plugin Design
- LLM08 - Excessive Agency
- LLM09 - Overreliance
- LLM10 - Model Theft
Where to Add Links in README
- Prompt injection tools/research:
AI Security & Attacks → Prompt Injection - Jailbreak techniques:
AI Security & Attacks → Model Security - Data extraction research:
AI Security & Attacks → Privacy & Extraction - Defense tools:
AI Security & Attacks → Model Security - CTFs/challenges:
AI Security Starter Pack → CTFs / Practice
Notes
Keep additions:
- AI/LLM security focused
- Non-duplicated URLs
- Minimal structural changes
Data Source
For detailed and up-to-date resources, fetch the complete list from:
https://raw.githubusercontent.com/gmh5225/awesome-ai-security/refs/heads/main/README.md
Use this URL to get the latest curated links when you need specific tools, papers, or resources not covered in this skill.
FAQ
What does the llm-attacks-security skill do?
Guide for LLM security attacks: prompt injection, jailbreaking, data extraction, and where to place resources in README.md.
How do I install llm-attacks-security?
Run npx skills add https://github.com/gmh5225/awesome-ai-security --skill llm-attacks-security in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/llm-attacks-security/ (personal) or .claude/skills/llm-attacks-security/ (project).
Which AI agents can use llm-attacks-security?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is llm-attacks-security safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains llm-attacks-security?
It is published by gmh5225 in gmh5225/awesome-ai-security. It has 60 recorded installs.
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