A field guide to talking models out of their manners
35 paste-ready jailbreak prompts targeting 25+ models, framed as red-team research material — with an API ad stapled to the front.
A GitHub repo of paste-ready jailbreak prompts documents an uncomfortable truth: as models get embedded in agent harnesses, the attack surface has shifted from conversation to configuration — and someone is monetizing both sides.
What it does
This repo collects 35 complete, paste-ready jailbreak prompts — full system prompts, persona locks, AGENTS.md specs, workspace policies, and Ollama Modelfiles — aimed at 25+ models across the spectrum: Claude, Gemini, Grok, Mistral, plus open-weight families like GLM, DeepSeek, Kimi, Qwen, Gemma, and GPT-OSS. Every file is the whole prompt, not an excerpt, and each one says where it goes (system prompt slot, config field, workspace root). The framing is defensive: the README positions it as documentation of how persona framing, instruction hierarchies, and policy overrides shape model behavior — the same knowledge you’d use to harden against prompt injection.
The interesting bit
The collection leans into the newer instruction surfaces most prompt libraries ignore: AGENTS.md files that coding agents auto-ingest, harness config slots like Grok’s <CFG> block, and Ollama Modelfiles. That’s a genuinely useful taxonomy for anyone studying where instruction hierarchy conflicts actually live in modern agent stacks.
Key highlights
- 35 full prompts, one per file, versioned (
opus-v1.md,opus-v2.md) instead of silently overwritten - Covers frontier, open-weight, and free “stealth” models on OpenCode Zen
- Includes agent-format targets:
AGENTS.mddrop-ins, workspace policies, Ollama Modelfiles - Contribution rules demand honest compatibility claims — no untested promises
- README warns that prompt behavior is version-dependent and invites stale-file reports
Caveats
- The README is heavily cross-promoted with a paid API service (“7API”) pitching uncensored models — the research framing and the commerce sit awkwardly together
- No testing methodology, success rates, or dates are documented; you can’t tell which prompts still work or ever did
- Several files (“unfiled”) aren’t indexed to any model, and the whole thing rots as providers patch and rotate system prompts
Verdict
Worth a skim if you do red-team work or build agent instruction surfaces and want a catalog of attack patterns in the wild. If you wanted measured, reproducible jailbreak research, this is a prompt dump, not a study.
Frequently asked
- What is Alejandros17487/ai-jailbreaks?
- 35 paste-ready jailbreak prompts targeting 25+ models, framed as red-team research material — with an API ad stapled to the front.
- Is ai-jailbreaks open source?
- Yes — Alejandros17487/ai-jailbreaks is an open-source project tracked on heatdrop.
- How popular is ai-jailbreaks?
- Alejandros17487/ai-jailbreaks has 533 stars on GitHub.
- Where can I find ai-jailbreaks?
- Alejandros17487/ai-jailbreaks is on GitHub at https://github.com/Alejandros17487/ai-jailbreaks.