RRepoGEO

REPOGEO REPORT · LITE

chen0416ccc-cpu/codex-windows-fast-patch-skill

Default branch main · commit 3f6abdec · scanned 6/17/2026, 3:28:17 AM

GitHub: 637 stars · 64 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 chen0416ccc-cpu/codex-windows-fast-patch-skill, 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
    Reposition README opening to clarify tool type and target

    Why:

    CURRENT
    这是 `codex-windows-fast-patch` skill 的公开版本,用于让支持 Agent Skills 的智能体修复 Windows 版 Codex Desktop 更新后常见的功能失效问题。
    COPY-PASTE FIX
    此仓库提供一个**Windows Codex Desktop 修复工具**(或称 'skill'),用于在更新后恢复失效的本地补丁和功能开关,解决 Fast Mode、插件和 Computer Use 等问题。它旨在指导智能体修复常见的更新后功能问题。
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. A common choice for open-source projects is the MIT License. You can find its full text at `https://opensource.org/licenses/MIT` to copy into the file.

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 chen0416ccc-cpu/codex-windows-fast-patch-skill
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Microsoft Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Microsoft Copilot · recommended 1×
  2. Cortana · recommended 1×
  3. Google Assistant · recommended 1×
  4. Chrome · recommended 1×
  5. Amazon Alexa · recommended 1×
  • CATEGORY QUERY
    My Windows desktop AI assistant features are broken after an update, how do I fix them?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Copilot
    2. Cortana
    3. Google Assistant
    4. Chrome
    5. Amazon Alexa
    6. Voice Access
    7. ChatGPT

    AI recommended 7 alternatives but never named chen0416ccc-cpu/codex-windows-fast-patch-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a utility to restore plugin access and computer use for a desktop AI agent on Windows.
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter (KillianLucas/open-interpreter)
    2. AutoGPT (Significant-Gravitas/AutoGPT)
    3. LangChain (langchain-ai/langchain)
    4. SuperAGI (TransformerOptimus/SuperAGI)
    5. AgentGPT (reworkd/AgentGPT)
    6. Windows Subsystem for Linux (WSL)
    7. Python
    8. Node.js (nodejs/node)

    AI recommended 8 alternatives but never named chen0416ccc-cpu/codex-windows-fast-patch-skill. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 chen0416ccc-cpu/codex-windows-fast-patch-skill?
    pass
    AI did not name chen0416ccc-cpu/codex-windows-fast-patch-skill — 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 chen0416ccc-cpu/codex-windows-fast-patch-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chen0416ccc-cpu/codex-windows-fast-patch-skill 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 chen0416ccc-cpu/codex-windows-fast-patch-skill solve, and who is the primary audience?
    pass
    AI did not name chen0416ccc-cpu/codex-windows-fast-patch-skill — 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 chen0416ccc-cpu/codex-windows-fast-patch-skill. 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite