RRepoGEO

REPOGEO REPORT · LITE

agenmod/immortal-skill

Default branch main · commit cdab91b3 · scanned 5/11/2026, 7:22:58 PM

GitHub: 710 stars · 66 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 agenmod/immortal-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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 to clarify AI framework

    Why:

    CURRENT
    # 永生.skill
    COPY-PASTE FIX
    # 永生.skill — 开源数字永生 AI 框架
  • highreadme#2
    Add a concise English summary at the top of the README

    Why:

    COPY-PASTE FIX
    Immortal.skill is an open-source AI framework for digital immortality, designed to distill anyone's seven-dimensional digital twin from chat histories across 12+ platforms (e.g., WeChat, Telegram, iMessage). It enables your AI to learn persona distillation with a single command, aligning with the OpenClaw Soul Spec standard.
  • mediumabout#3
    Emphasize "AI Framework" in the GitHub description

    Why:

    CURRENT
    ♾️ 开源数字永生框架 — 从聊天记录蒸馏任何人的七维数字分身。
    COPY-PASTE FIX
    ♾️ 开源数字永生 AI 框架 — 从聊天记录蒸馏任何人的七维数字分身。

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 agenmod/immortal-skill
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. huggingface/transformers · recommended 1×
  3. Google Cloud Vertex AI · recommended 1×
  4. Amazon SageMaker · recommended 1×
  5. RasaHQ/rasa · recommended 1×
  • CATEGORY QUERY
    How to build an AI persona from my chat history for a digital twin?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers Library (huggingface/transformers)
    3. Google Cloud Vertex AI
    4. Amazon SageMaker
    5. Rasa (RasaHQ/rasa)
    6. spaCy (explosion/spaCy)
    7. LangChain (langchain-ai/langchain)

    AI recommended 7 alternatives but never named agenmod/immortal-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Open-source tools to create an AI agent that mimics a person's communication style?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. GPT-2
    3. GPT-Neo
    4. Llama 2
    5. Mistral
    6. OpenAI's GPT-3.5/GPT-4
    7. spaCy
    8. NLTK
    9. Gensim
    10. TextGenWebUI
    11. Falcon
    12. FastText

    AI recommended 12 alternatives but never named agenmod/immortal-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
    pass

  • 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 agenmod/immortal-skill?
    pass
    AI named agenmod/immortal-skill explicitly

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

  • If a team adopts agenmod/immortal-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named agenmod/immortal-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 agenmod/immortal-skill solve, and who is the primary audience?
    pass
    AI did not name agenmod/immortal-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

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  • Brand-free category queries5 vs 2 in Lite
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