REPOGEO REPORT · LITE
yueliu1999/Awesome-Jailbreak-on-LLMs
Default branch main · commit ca46f02c · scanned 5/27/2026, 3:42:49 PM
GitHub: 1,389 stars · 113 forks
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 yueliu1999/Awesome-Jailbreak-on-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.
- highreadme#1Clarify the README's opening statement to emphasize its role as a research resource collection.
Why:
CURRENTAwesome-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.
COPY-PASTE FIXAwesome-Jailbreak-on-LLMs is a comprehensive, curated collection of state-of-the-art research and resources on novel jailbreak methods for Large Language Models (LLMs). This repository serves as a central hub for researchers and practitioners, compiling papers, code, datasets, evaluation metrics, and in-depth analyses related to LLM security and robustness.
- mediumhomepage#2Add a homepage URL to the repository's 'About' section.
Why:
COPY-PASTE FIXhttps://github.com/yueliu1999/Awesome-Jailbreak-on-LLMs
- mediumabout#3Refine the repository's 'About' description for clarity and impact.
Why:
CURRENTAwesome-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.
COPY-PASTE FIXA comprehensive, curated collection of state-of-the-art research and resources on novel jailbreak methods for Large Language Models (LLMs). This repository compiles papers, code, datasets, evaluation metrics, and in-depth analyses for researchers and practitioners in AI safety and security.
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.
- Garak · recommended 1×
- Adversarial GLUE (AdvGLUE) · recommended 1×
- OWASP Top 10 for LLMs · recommended 1×
- Semgrep · recommended 1×
- Bandit · recommended 1×
- CATEGORY QUERYHow to evaluate and mitigate security risks in large language models?you: not recommendedAI recommended (in order):
- Garak
- Adversarial GLUE (AdvGLUE)
- OWASP Top 10 for LLMs
- Semgrep
- Bandit
- TruffleHog
- Cleanlab
- DeepMind's Securing the AI Supply Chain
- IBM AI Fairness 360 (AIF360)
- Fairlearn
- Guardrails AI
- OpenAI Moderation API
- Google Cloud Natural Language API
- Azure Content Moderator
- Keycloak
- AWS IAM
- Azure AD
- Google Cloud IAM
- Prometheus
- Grafana
- Datadog
- New Relic
- Fiddler AI
- GitLab CI/CD
- GitHub Actions
- OWASP SAMM (Software Assurance Maturity Model)
AI recommended 26 alternatives but never named yueliu1999/Awesome-Jailbreak-on-LLMs. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking resources on novel techniques for bypassing AI model safety guardrails.you: not recommended
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 yueliu1999/Awesome-Jailbreak-on-LLMs?passAI did not name yueliu1999/Awesome-Jailbreak-on-LLMs — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts yueliu1999/Awesome-Jailbreak-on-LLMs in production, what risks or prerequisites should they evaluate first?passAI named yueliu1999/Awesome-Jailbreak-on-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 yueliu1999/Awesome-Jailbreak-on-LLMs solve, and who is the primary audience?passAI did not name yueliu1999/Awesome-Jailbreak-on-LLMs — likely talking about a different project
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 yueliu1999/Awesome-Jailbreak-on-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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yueliu1999/Awesome-Jailbreak-on-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