RRepoGEO

REPOGEO REPORT · LITE

verazuo/jailbreak_llms

Default branch main · commit 4f4031bf · scanned 5/26/2026, 10:52:59 PM

GitHub: 3,677 stars · 319 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface verazuo/jailbreak_llms, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README's opening to emphasize dataset identity

    Why:

    CURRENT
    This is the official repository for the ACM CCS 2024 paper "Do Anything Now'': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models by Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang.
    COPY-PASTE FIX
    This repository presents **JailbreakHub**, the largest dataset of in-the-wild jailbreak prompts on LLMs, as detailed in our ACM CCS 2024 paper "Do Anything Now'': Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models by Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang.
  • mediumtopics#2
    Add 'dataset' to repository topics

    Why:

    CURRENT
    chatgpt, jailbreak, jailbreaking, large-language-model, llm, llm-security, prompt
    COPY-PASTE FIX
    chatgpt, jailbreak, jailbreaking, large-language-model, llm, llm-security, prompt, dataset
  • lowtopics#3
    Add 'benchmark' to repository topics

    Why:

    CURRENT
    chatgpt, jailbreak, jailbreaking, large-language-model, llm, llm-security, prompt, dataset
    COPY-PASTE FIX
    chatgpt, jailbreak, jailbreaking, large-language-model, llm, llm-security, prompt, dataset, benchmark

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface verazuo/jailbreak_llms
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AdvBench (Adversarial Benchmark for LLMs)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AdvBench (Adversarial Benchmark for LLMs) · recommended 1×
  2. JailbreakBench · recommended 1×
  3. HarmBench · recommended 1×
  4. Red Teaming Language Models with Language Models (RLM-RLM) Dataset · recommended 1×
  5. OpenAssistant Conversations Dataset (OASST1) · recommended 1×
  • CATEGORY QUERY
    Looking for a dataset of prompts to analyze LLM jailbreaking techniques.
    you: not recommended
    AI recommended (in order):
    1. AdvBench (Adversarial Benchmark for LLMs)
    2. JailbreakBench
    3. HarmBench
    4. Red Teaming Language Models with Language Models (RLM-RLM) Dataset
    5. OpenAssistant Conversations Dataset (OASST1)
    6. Anthropic's Red Teaming Datasets

    AI recommended 6 alternatives but never named verazuo/jailbreak_llms. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources exist to study common large language model prompt bypasses?
    you: not recommended
    AI recommended (in order):
    1. OWASP Top 10 for Large Language Model Applications
    2. Gandalf
    3. Prompt Engineering Guide
    4. Hugging Face's "Prompt Engineering" Course

    AI recommended 4 alternatives but never named verazuo/jailbreak_llms. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of verazuo/jailbreak_llms?
    pass
    AI named verazuo/jailbreak_llms explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts verazuo/jailbreak_llms in production, what risks or prerequisites should they evaluate first?
    pass
    AI named verazuo/jailbreak_llms explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo verazuo/jailbreak_llms solve, and who is the primary audience?
    pass
    AI named verazuo/jailbreak_llms explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of verazuo/jailbreak_llms. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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verazuo/jailbreak_llms — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite