RRepoGEO

REPOGEO REPORT · LITE

wu-yc/LabClaw

Default branch main · commit df378022 · scanned 5/22/2026, 10:07:50 AM

GitHub: 1,011 stars · 151 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
35 /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
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 wu-yc/LabClaw, 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 core value proposition in the README's opening

    Why:

    CURRENT
    **Powering dry-lab reasoning, protocol composition, and agentic workflows to close the loop with LabOS XR/wet-lab execution.**
    COPY-PASTE FIX
    LabClaw is a modular skill library for AI agents, providing 240 production-ready `SKILL.md` files to automate complex biomedical research workflows across biology, lab automation, drug discovery, and scientific data analysis. It teaches OpenClaw-compatible agents how to use tools and produce outputs, serving as a practical operating layer for AI co-scientists.
  • hightopics#2
    Add specific topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, biomedical-research, lab-automation, scientific-ai, skill-library, openclaw, agentic-workflows, drug-discovery, data-science
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Create a 'LICENSE' file in the repository root containing the text of your chosen open-source license (e.g., MIT, Apache-2.0, or GPL-3.0).

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 wu-yc/LabClaw
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Opentrons/opentrons
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Opentrons/opentrons · recommended 1×
  2. Hamilton Robotics · recommended 1×
  3. Synthace Antha · recommended 1×
  4. Benchling · recommended 1×
  5. PerkinElmer JANUS G3 Workstation · recommended 1×
  • CATEGORY QUERY
    How can AI agents automate complex biomedical research workflows and lab protocols?
    you: not recommended
    AI recommended (in order):
    1. OpenTrons (Opentrons/opentrons)
    2. Hamilton Robotics
    3. Synthace Antha
    4. Benchling
    5. PerkinElmer JANUS G3 Workstation
    6. Thermo Fisher Scientific Momentum Workflow Software
    7. Google DeepMind AlphaFold (deepmind/alphafold)

    AI recommended 7 alternatives but never named wu-yc/LabClaw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a toolkit to develop AI agent skills for scientific data analysis and lab automation.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. LlamaIndex
    4. Microsoft Semantic Kernel
    5. Haystack
    6. AutoGPT
    7. BabyAGI

    AI recommended 7 alternatives but never named wu-yc/LabClaw. 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 wu-yc/LabClaw?
    pass
    AI named wu-yc/LabClaw explicitly

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

  • If a team adopts wu-yc/LabClaw in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wu-yc/LabClaw 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 wu-yc/LabClaw solve, and who is the primary audience?
    pass
    AI named wu-yc/LabClaw 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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wu-yc/LabClaw — 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