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REPOGEO REPORT · LITE

brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research

Default branch main · commit d1937c81 · scanned 5/19/2026, 1:18:11 PM

GitHub: 1,054 stars · 179 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
20 /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
0 / 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 brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research, 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
  • highabout#1
    Clarify the 'About' description to emphasize 'awesome list' nature

    Why:

    CURRENT
    🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
    COPY-PASTE FIX
    🔬 An **awesome list** and curated collection of 23,000+ AI agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
  • mediumreadme#2
    Add a dedicated section to the README clarifying the repo's nature as a resource list

    Why:

    COPY-PASTE FIX
    Add a new section (e.g., 'What is this repository?') to the README, stating: 'This repository is a comprehensive, curated **awesome list** of AI agent skills and related GitHub repositories for empirical research. It serves as a resource and guide, rather than a software library, framework, or deployable tool for building AI agents.'
  • lowlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a 'License' section to the README, stating: 'The content of this repository is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).'

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 brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. Hugging Face Datasets · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive library of AI agent skills for social science empirical research?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. Hugging Face Datasets
    5. OpenAI API
    6. Anthropic Claude
    7. Google Gemini
    8. Mesa
    9. NLTK
    10. spaCy
    11. Scikit-learn

    AI recommended 11 alternatives but never named brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools assist with empirical research workflow, from data analysis to paper submission?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT / GPT-4
    2. Grammarly
    3. GitHub Copilot
    4. Elicit
    5. QuillBot
    6. Scite.ai
    7. DeepL Write

    AI recommended 7 alternatives but never named brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research. 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 brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research?
    pass
    AI did not name brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research — 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 brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research — 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?

  • In one sentence, what problem does the repo brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research solve, and who is the primary audience?
    pass
    AI did not name brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite