RRepoGEO

REPOGEO REPORT · LITE

lijigang/ljg-skill-xray-paper

Default branch master · commit d467998b · scanned 6/16/2026, 3:58:08 PM

GitHub: 579 stars · 42 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 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 lijigang/ljg-skill-xray-paper, 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 the README H1 and opening sentence to explicitly state its purpose

    Why:

    CURRENT
    # ljg-skill-xray-paper

论文 X 光机 — 一个 Claude Code Skill，只做两件事：论文说了什么 + 对我意味着什么。
    COPY-PASTE FIX
    # ljg-skill-xray-paper: Claude Code Skill for Academic Paper Analysis

论文 X 光机 is a Claude Code Skill designed to deeply analyze academic papers. It focuses on two core tasks: extracting what the paper says and identifying its personal relevance to you.
  • mediumabout#2
    Update the 'About' description for clarity on academic paper analysis

    Why:

    CURRENT
    论文X光机 — Claude Code Skill，解构学术论文，提炼餐巾纸公式
    COPY-PASTE FIX
    Claude Code Skill for academic paper analysis: Deconstructs research papers, extracts core insights, and formulates 'napkin-sketch' summaries.

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 lijigang/ljg-skill-xray-paper
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elicit
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Elicit · recommended 2×
  2. ResearchRabbit · recommended 2×
  3. Semantic Scholar · recommended 2×
  4. ChatGPT · recommended 1×
  5. Perplexity AI · recommended 1×
  • CATEGORY QUERY
    Looking for an AI assistant to summarize scientific articles and highlight personal relevance.
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. ResearchRabbit
    3. Semantic Scholar
    4. ChatGPT
    5. Perplexity AI

    AI recommended 5 alternatives but never named lijigang/ljg-skill-xray-paper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to extract main points, key mechanisms, and structured insights from academic papers.
    you: not recommended
    AI recommended (in order):
    1. Semantic Scholar
    2. Elicit
    3. Scite.ai
    4. ResearchRabbit
    5. Paperpile
    6. ReadCube Papers

    AI recommended 6 alternatives but never named lijigang/ljg-skill-xray-paper. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 lijigang/ljg-skill-xray-paper?
    pass
    AI did not name lijigang/ljg-skill-xray-paper — 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 lijigang/ljg-skill-xray-paper in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lijigang/ljg-skill-xray-paper 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 lijigang/ljg-skill-xray-paper solve, and who is the primary audience?
    pass
    AI did not name lijigang/ljg-skill-xray-paper — 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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lijigang/ljg-skill-xray-paper — 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