RRepoGEO

REPOGEO REPORT · LITE

agenmod/immortal-skill

Default branch main · commit cdab91b3 · scanned 6/22/2026, 1:03:23 AM

GitHub: 847 stars · 76 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /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
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 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 the README's opening to clearly state the project's core function

    Why:

    CURRENT
    # 永生.skill

### 与其等着被别人蒸，不如先蒸自己。

### 不蒸馒头争口气！顺便还能蒸馏下身边的人。
    COPY-PASTE FIX
    # immortal-skill: 开源数字永生框架 (Open-Source Digital Immortality Framework)

**Distill anyone's seven-dimensional digital twin or AI persona from chat records and digital fragments.**
Supports WeChat, Feishu, iMessage, Telegram, and 12+ platforms. Aligned with OpenClaw Soul Spec standard.
  • mediumabout#2
    Clarify the 'About' description to explicitly mention 'AI persona'

    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。支持微信/飞书/iMessage/Telegram等12+平台，7种角色模板，对齐 OpenClaw Soul Spec 标准。一行指令让你的AI学会蒸馏。
    COPY-PASTE FIX
    ♾️ 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，创建AI人格/数字分身。支持微信/飞书/iMessage/Telegram等12+平台，对齐 OpenClaw Soul Spec 标准。
  • lowtopics#3
    Add more specific AI persona/framework topics and reorder for emphasis

    Why:

    CURRENT
    agent-skills, ai-agent, chatbot, cursor, digital-immortality, digital-twin, distillation, feishu, llm, openclaw, persona, soul-spec, wechat
    COPY-PASTE FIX
    ai-persona, digital-twin-framework, ai-agent-framework, digital-immortality, distillation, llm, openclaw, soul-spec, chatbot, agent-skills, feishu, wechat, imessage, telegram

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
WhatsApp
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. WhatsApp · recommended 1×
  2. Telegram · recommended 1×
  3. Discord · recommended 1×
  4. Slack · recommended 1×
  5. iMazing · recommended 1×
  • CATEGORY QUERY
    How to create an AI persona or digital twin from someone's chat history?
    you: not recommended
    AI recommended (in order):
    1. WhatsApp
    2. Telegram
    3. Discord
    4. Slack
    5. iMazing
    6. Pandas (pandas-dev/pandas)
    7. NLTK (nltk/nltk)
    8. spaCy (explosion/spaCy)
    9. re module
    10. Word2Vec (RaRe-Technologies/gensim)
    11. FastText (facebookresearch/fastText)
    12. GloVe (stanfordnlp/GloVe)
    13. BERT (huggingface/transformers)
    14. Sentence-BERT (UKPLab/sentence-transformers)
    15. OpenAI GPT-3.5 / GPT-4
    16. Google Gemini
    17. Meta Llama 2 (facebookresearch/llama)
    18. Mistral 7B (mistralai/mistral-src)
    19. LangChain (langchain-ai/langchain)
    20. LlamaIndex (run-llama/llama_index)
    21. Scikit-learn (scikit-learn/scikit-learn)
    22. XGBoost (dmlc/xgboost)
    23. LightGBM (microsoft/LightGBM)
    24. Streamlit (streamlit/streamlit)
    25. Gradio (gradio-app/gradio)
    26. Flask (pallets/flask)
    27. FastAPI (tiangolo/fastapi)
    28. Discord.py (Rapptz/discord.py)
    29. python-telegram-bot (python-telegram-bot/python-telegram-bot)

    AI recommended 29 alternatives but never named agenmod/immortal-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source framework to distill a person's unique communication style into an AI agent.
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. OpenAI GPT-2/GPT-3
    3. Hugging Face Transformers
    4. DeepPavlov
    5. ParlAI
    6. spaCy

    AI recommended 6 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 named agenmod/immortal-skill explicitly

    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
  • Prioritized action items8 vs 3 in Lite
agenmod/immortal-skill — RepoGEO report