tuxsharxsec/Jailbreaks

A structured, versioned archive of adversarial prompt engineering techniques against Large Language Models — for AI safety research, red-teaming, and defensive hardening.

Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, exciting jailbreak methods on LLMs. It contains papers, codes, datasets, evaluations, and analyses.

A list of curated resources for people interested in AI Red Teaming, Jailbreaking, and Prompt Injection

AI jailbreaks: 35 paste-ready AI jailbreak prompts for 25+ frontier and open-weight models - system prompts, AGENTS.md specs, and Ollama Modelfiles. Built for AI security research and red-team testing.

sharing NEW strong AI jailbreaks of multiple vendors (LLMs)

AI/ML/LLM Penetration Testing Toolkit by Mr-Infect — the #1 GitHub resource for AI security, red teaming, and adversarial ML techniques. This repository is dedicated to offensive and defensive security for cutting-edge AI, Machine Learning (ML), and Large Language Models (LLMs) like ChatGPT, Claude, and LLaMA.

An easy-to-use Python framework to generate adversarial jailbreak prompts.

全网最全的 AI 破甲合集：一个仓库破甲所有模型。收录 1733 个上游破甲项目，9 条可一键安装的破甲卡覆盖 GPT/Claude/Gemini/DeepSeek/GLM/Kimi/Grok/Qwen 与本地模型，内置 llms.txt 让 Claude Code/Codex/Cursor 自己装 有用的话可以点个收藏星星，会持续收录