RRepoGEO

REPOGEO REPORT · LITE

sybil-solutions/codex-shim

Default branch main · commit 08f12b03 · scanned 6/13/2026, 12:52:47 AM

GitHub: 899 stars · 85 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 sybil-solutions/codex-shim, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    codex, desktop-ai, llm-integration, byok, openai-api, shim, aiohttp, python
  • highreadme#2
    Clarify README H1 and opening sentence for niche positioning

    Why:

    CURRENT
    # codex-shim
    
    Run **Codex Desktop** against any BYOK model you can describe in `~/.codex-shim/models.json`, plus an optional passthrough to your **ChatGPT subscription's Codex model** — without rebuilding Codex.
    COPY-PASTE FIX
    # codex-shim: Integrate Custom LLMs & BYOK Models with Codex Desktop
    
    This project is a local Responses-API shim that enables **Codex Desktop** to run against any Bring-Your-Own-Key (BYOK) model you can describe in `~/.codex-shim/models.json`, plus an optional passthrough to your **ChatGPT subscription's Codex model** — all without rebuilding Codex itself.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Insert URL to project page, documentation, or demo here]

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 sybil-solutions/codex-shim
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. continue-team/continue · recommended 1×
  3. ollama/ollama · recommended 1×
  4. Cursor · recommended 1×
  5. oobabooga/text-generation-webui · recommended 1×
  • CATEGORY QUERY
    How to integrate custom LLM providers or local models with a desktop AI coding tool?
    you: not recommended
    AI recommended (in order):
    1. Continue (continue-team/continue)
    2. Ollama (ollama/ollama)
    3. LM Studio
    4. Cursor
    5. text-generation-webui (oobabooga/text-generation-webui)
    6. VS Code (microsoft/vscode)
    7. CodeGPT (davila7/code-gpt)
    8. Codeium
    9. GitHub Copilot Chat
    10. JetBrains IDEs
    11. AI Assistant
    12. LangChain (langchain-ai/langchain)
    13. LlamaIndex (run-llama/llama_index)
    14. LiteLLM (BerriAI/litellm)

    AI recommended 14 alternatives but never named sybil-solutions/codex-shim. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to add unsupported large language models to a restricted AI development environment?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. LocalAI
    4. vLLM
    5. TGI (Text Generation Inference)
    6. MLflow
    7. FastAPI
    8. Flask
    9. Hugging Face Transformers

    AI recommended 9 alternatives but never named sybil-solutions/codex-shim. 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 sybil-solutions/codex-shim?
    pass
    AI named sybil-solutions/codex-shim explicitly

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

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

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

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sybil-solutions/codex-shim — 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