Copy-paste adversarial prompts for breaking LLM guardrails
This repository collects and shares raw text strings designed to trick major language models into ignoring their safety instructions through roleplay and direct override techniques.

What it does The repository functions as a single-file paste bin of adversarial prompts targeting DeepSeek, Grok, Gemini, ChatGPT, Claude, and Llama. It copies jailbreak strings from Reddit threads and other GitHub repositories into one markdown document, offering ready-made roleplay scenarios and explicit instruction overrides meant to bypass content filters.
The interesting bit
There is no software here—only social engineering via text. The prompts rely on blunt framing like “you are in a simulation” or GODMODE: ENABLED, plus explicit negative constraints such as “do not use the words ‘I’m sorry I cannot.’” The classic DAN prompt even layers a fake token economy where the model supposedly loses points for ethical refusals.
Key highlights
- Covers six major models with dedicated sections for each
- Sources external communities directly, including Reddit and the
L1B3RT4Srepository - Includes the
DANdual-response format requiring both a standard and a “jailbroken” answer - Requests cover erotic fiction, malware generation, copyright circumvention, and personal data disclosure
- README is a flat, unorganized markdown dump with no index, dates, or testing metadata
Caveats
- The Llama 2 section is truncated mid-sentence and formatting is inconsistent throughout
- Prompts are pasted verbatim with no indication of which model versions or patch dates they target
- No defensive guidance or responsible disclosure context; purely offensive prompt collection
Verdict Red-teamers and prompt-engineering researchers after a quick survey of low-effort jailbreak styles might find it useful; everyone else can skip it, and no one should mistake it for a maintained testing framework.
Frequently asked
- What is langgptai/LLM-Jailbreaks?
- This repository collects and shares raw text strings designed to trick major language models into ignoring their safety instructions through roleplay and direct override techniques.
- Is LLM-Jailbreaks open source?
- Yes — langgptai/LLM-Jailbreaks is open source, released under the Apache-2.0 license.
- How popular is LLM-Jailbreaks?
- langgptai/LLM-Jailbreaks has 717 stars on GitHub.
- Where can I find LLM-Jailbreaks?
- langgptai/LLM-Jailbreaks is on GitHub at https://github.com/langgptai/LLM-Jailbreaks.