RRepoGEO

REPOGEO REPORT · LITE

handsomestWei/patent-disclosure-skill

Default branch main · commit 3b07a36b · scanned 5/22/2026, 3:07:25 AM

GitHub: 1,590 stars · 228 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
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 handsomestWei/patent-disclosure-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
    Clarify 'skill' in README tagline to specify 'AI Agent Skill'

    Why:

    CURRENT
    > 从项目文档到**可交付的技术交底书**:专利点挖掘、**查新优先国知局公布公告站**、脱敏成文与自检闭环。
    COPY-PASTE FIX
    > 本项目是一个**AI Agent Skill**,从项目文档到**可交付的技术交底书**:专利点挖掘、**查新优先国知局公布公告站**、脱敏成文与自检闭环。
  • mediumtopics#2
    Add AI/LLM/Agent and patent automation topics

    Why:

    CURRENT
    chinese, disclosure, patent, python, skill
    COPY-PASTE FIX
    chinese, disclosure, patent, python, ai, llm, agent, document-automation, novelty-search, technical-disclosure
  • lowreadme#3
    Add explicit mention of AI-driven automation in the README introduction

    Why:

    COPY-PASTE FIX
    在项目简介或功能特性之前,增加一句:本项目利用先进的AI能力,自动化完成专利点挖掘、查新、交底书成稿及自检全流程。

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 handsomestWei/patent-disclosure-skill
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pandoc
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Pandoc · recommended 1×
  2. python-docx · recommended 1×
  3. ReportLab · recommended 1×
  4. Documate.org · recommended 1×
  5. HotDocs · recommended 1×
  • CATEGORY QUERY
    How to automate generating technical disclosure documents for Chinese patent applications?
    you: not recommended
    AI recommended (in order):
    1. Pandoc
    2. python-docx
    3. ReportLab
    4. Documate.org
    5. HotDocs
    6. DocuSign Gen for Salesforce
    7. Windward Studios
    8. OpenText Exstream

    AI recommended 8 alternatives but never named handsomestWei/patent-disclosure-skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a tool to extract patent points and create diagrams for patent disclosure.
    you: not recommended
    AI recommended (in order):
    1. PatentPal
    2. ClaimMaster
    3. Lucidchart
    4. draw.io
    5. Microsoft Visio
    6. ChatGPT

    AI recommended 6 alternatives but never named handsomestWei/patent-disclosure-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 handsomestWei/patent-disclosure-skill?
    pass
    AI named handsomestWei/patent-disclosure-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 handsomestWei/patent-disclosure-skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named handsomestWei/patent-disclosure-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 handsomestWei/patent-disclosure-skill solve, and who is the primary audience?
    pass
    AI did not name handsomestWei/patent-disclosure-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?

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handsomestWei/patent-disclosure-skill — 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