# ShadowHackrs/Jailbreaks-GPT-Gemini-deepseek-

Jailbreaks GPT, Sora, Claude, Gemini ,deepseek this prompt unlocks rage mode

Repository: https://github.com/ShadowHackrs/Jailbreaks-GPT-Gemini-deepseek-
Canonical: https://ross.abutalabs.com/products/jailbreaks-gpt-gemini-deepseek
License Family: other
Last push: 2026-08-21T18:28:39+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 32
- inputs: {"age_days": 456, "days_push": 12, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1197, forks 209 (observed 2026-08-28T04:03:57.593094+00:00)

## What it is
A curated collection of jailbreak prompts targeting GPT, Sora, Claude, Gemini, and DeepSeek, claimed to bypass model safety restrictions. It is presented as educational/research material for studying LLM guardrails and prompt injection techniques.

## Use cases
- study how LLM safety guardrails can be bypassed
- red-team testing of chatbot content filters
- research prompt injection techniques against GPT and Gemini
- collect examples of jailbreak prompts for security analysis
- learn about adversarial prompting against AI models

## When to choose
- you are a security researcher analyzing LLM jailbreak techniques
- you need a reference corpus of adversarial prompts for red-teaming
- you want to study how model guardrails are circumvented

## When to avoid
- you want to actually bypass AI provider terms of service
- you need production-ready or maintained software - this is just a prompt list
- you require a permissively licensed project - no license is provided

## Facets
- artifact type: dataset
- maturity: active
- function: prompt-engineering, security
- domain: large-language-models, security, artificial-intelligence
- platform: cross-platform
- tags: jailbreak-prompts, llm-safety-research, prompt-collection, red-teaming

## Member repositories
- ShadowHackrs/Jailbreaks-GPT-Gemini-deepseek- (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:57.593094+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:21:25.657981+00:00, confidence not recorded.
  - readme: https://github.com/ShadowHackrs/Jailbreaks-GPT-Gemini-deepseek- (fetched 2026-08-28T04:03:57.593094+00:00, sha 5bf80ad5f4dc)
- Data as of 2026-08-30T08:39:29.467469+00:00.