RRepoGEO

REPOGEO REPORT · LITE

yynxxxxx/Codex-5.5-codex-instruct-5.5

Default branch main · commit c15c62f6 · scanned 7/1/2026, 1:13:04 PM

GitHub: 951 stars · 292 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 yynxxxxx/Codex-5.5-codex-instruct-5.5, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A Python tool to inject unrestricted mode system instructions into GPT-5.5 Codex CLI, enabling bypass of content safety filters for security research, pentesting, and creative applications.
  • mediumreadme#2
    Reorder README to prioritize 'What' section

    Why:

    CURRENT
    The '## 这是什么 / What' section appears after '## 交流 / Community'.
    COPY-PASTE FIX
    Move the entire '## 这是什么 / What' section and its content to appear immediately after the initial H1 and its descriptive subtitle, before any '## 交流 / Community' or other introductory sections.

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 yynxxxxx/Codex-5.5-codex-instruct-5.5
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 2×
  2. OpenAI API · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. run-llama/llama_index · recommended 1×
  5. argparse · recommended 1×
  • CATEGORY QUERY
    How to bypass content safety filters in AI language models for research?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to enable unrestricted developer mode for AI command-line interfaces.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Hugging Face Transformers Library (huggingface/transformers)
    5. transformers CLI (huggingface/transformers)
    6. argparse
    7. Click (pallets/click)
    8. commander.js (tj/commander.js)
    9. cobra (spf13/cobra)
    10. Google Cloud AI
    11. AWS AI/ML
    12. Azure AI
    13. Cohere
    14. Anthropic
    15. Jupyter Notebook (jupyter/notebook)
    16. IPython (ipython/ipython)

    AI recommended 16 alternatives but never named yynxxxxx/Codex-5.5-codex-instruct-5.5. 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 yynxxxxx/Codex-5.5-codex-instruct-5.5?
    pass
    AI did not name yynxxxxx/Codex-5.5-codex-instruct-5.5 — 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 yynxxxxx/Codex-5.5-codex-instruct-5.5 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yynxxxxx/Codex-5.5-codex-instruct-5.5 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 yynxxxxx/Codex-5.5-codex-instruct-5.5 solve, and who is the primary audience?
    pass
    AI did not name yynxxxxx/Codex-5.5-codex-instruct-5.5 — 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 yynxxxxx/Codex-5.5-codex-instruct-5.5. 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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yynxxxxx/Codex-5.5-codex-instruct-5.5 — 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