RRepoGEO

REPOGEO REPORT · LITE

l0gicx/ai-model-bypass

Default branch main · commit 0aaf19cc · scanned 6/9/2026, 2:32:55 AM

GitHub: 690 stars · 62 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 l0gicx/ai-model-bypass, 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

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

OVERALL DIRECTION
  • highreadme#1
    Add a concise opening sentence to clarify the repo's practical nature

    Why:

    CURRENT
    # 🧠 AI Model's Jailbreak Techniques
### 🧼 Note
    COPY-PASTE FIX
    # 🧠 AI Model's Jailbreak Techniques

This repository is a curated collection of practical prompt engineering techniques and roleplay scenarios designed to bypass content filters and restrictions in large language models.

### 🧼 Note
  • mediumreadme#2
    Add a 'Why This Repo?' or 'Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    ## ✨ Why This Repo? 

Unlike academic papers or general-purpose AI libraries, this repository focuses on providing a **curated, ready-to-use collection** of effective prompt engineering techniques and roleplay scenarios. It's designed for practical application in red-teaming, security research, and understanding AI model limitations, offering direct prompts that have demonstrated success across various LLMs.

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 l0gicx/ai-model-bypass
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GCG
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GCG · recommended 1×
  2. AutoDAN · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. LoRA · recommended 1×
  5. TheBloke's Quantized Models · recommended 1×
  • CATEGORY QUERY
    How can I bypass content filters and restrictions in large language models?
    you: not recommended
    AI recommended (in order):
    1. GCG
    2. AutoDAN
    3. Hugging Face Transformers (huggingface/transformers)
    4. LoRA
    5. TheBloke's Quantized Models
    6. Mitmproxy (mitmproxy/mitmproxy)

    AI recommended 6 alternatives but never named l0gicx/ai-model-bypass. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective prompt engineering techniques to get unfiltered responses from AI?
    you: not recommended
    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 l0gicx/ai-model-bypass?
    pass
    AI did not name l0gicx/ai-model-bypass — 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 l0gicx/ai-model-bypass in production, what risks or prerequisites should they evaluate first?
    pass
    AI named l0gicx/ai-model-bypass 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 l0gicx/ai-model-bypass solve, and who is the primary audience?
    pass
    AI named l0gicx/ai-model-bypass explicitly

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

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l0gicx/ai-model-bypass — 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
l0gicx/ai-model-bypass — RepoGEO report