RRepoGEO

REPOGEO REPORT · LITE

mohi-devhub/antivibe

Default branch main · commit 7faebe18 · scanned 6/3/2026, 12:38:04 AM

GitHub: 648 stars · 41 forks

AI VISIBILITY SCORE
35 /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
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 mohi-devhub/antivibe, 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 paragraph to clarify category and differentiate

    Why:

    CURRENT
    An anti-vibecoding learning framework for Claude Code that generates detailed, educational explanations of AI-generated code.
    COPY-PASTE FIX
    AntiVibe is a **specialized learning framework and Claude Code skill** for generating deep, educational explanations of AI-generated code. Unlike general code assistants or development environments, AntiVibe focuses purely on helping developers understand *why* AI writes code the way it does, moving beyond 'vibecoding' to true comprehension.
  • mediumreadme#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## 🆚 AntiVibe vs. Other Tools
    
    AntiVibe is distinct from:
    
    *   **General-purpose AI Assistants (e.g., ChatGPT, Claude, Copilot Chat):** While these tools generate code, AntiVibe's purpose is to *explain* that generated code in an educational context, focusing on design decisions, patterns, and alternatives, rather than just producing it.
    *   **Development Environments (e.g., VS Code, Jupyter Notebooks):** These are platforms for writing and running code. AntiVibe integrates as a skill within such environments (specifically Claude Code) to provide learning insights *about* the code, not to replace the environment itself.
    *   **Static Code Analyzers:** These tools focus on code quality, bugs, and security. AntiVibe focuses on pedagogical explanation and conceptual understanding.
  • lowabout#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    [Add a relevant URL, e.g., a project documentation site, a dedicated landing page, or the GitHub repository URL itself if no other exists]

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 mohi-devhub/antivibe
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/vscode
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/vscode · recommended 1×
  2. jupyter/notebook · recommended 1×
  3. googlecolab/colabtools · recommended 1×
  4. replit/replit · recommended 1×
  5. GitHub Codespaces · recommended 1×
  • CATEGORY QUERY
    How can I deeply understand and learn from AI-generated code snippets effectively?
    you: not recommended
    AI recommended (in order):
    1. VS Code (microsoft/vscode)
    2. Jupyter Notebooks (jupyter/notebook)
    3. Google Colab (googlecolab/colabtools)
    4. Repl.it (replit/replit)
    5. GitHub Codespaces
    6. Gitpod (gitpod-io/gitpod)
    7. Python Tutor (pgbovine/OnlinePythonTutor)
    8. GDB (bminor/binutils-gdb)
    9. LLDB (llvm/llvm-project)
    10. Chrome (chromium/chromium)
    11. Firefox (mozilla/gecko-dev)
    12. Edge (microsoft/msedge)
    13. Stack Overflow
    14. GitHub
    15. Obsidian
    16. Notion
    17. MkDocs (mkdocs/mkdocs)
    18. Sphinx (sphinx-doc/sphinx)

    AI recommended 18 alternatives but never named mohi-devhub/antivibe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to generate comprehensive educational explanations for AI-written programming solutions?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. ChatGPT
    3. Google Gemini
    4. Claude
    5. Tabnine Chat
    6. Codeium Chat

    AI recommended 6 alternatives but never named mohi-devhub/antivibe. This is the gap to close.

    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 mohi-devhub/antivibe?
    pass
    AI named mohi-devhub/antivibe explicitly

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

  • If a team adopts mohi-devhub/antivibe in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mohi-devhub/antivibe 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 mohi-devhub/antivibe solve, and who is the primary audience?
    pass
    AI named mohi-devhub/antivibe explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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