RRepoGEO

REPOGEO REPORT · LITE

pinchbench/skill

Default branch main · commit f3f1cb56 · scanned 5/14/2026, 11:26:46 AM

GitHub: 1,163 stars · 131 forks

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 pinchbench/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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumabout#1
    Broaden the 'About' description for wider AI agent relevance

    Why:

    CURRENT
    PinchBench is a benchmarking system for evaluating LLM models as OpenClaw coding agents. Made with 🦀 by the humans at https://kilo.ai
    COPY-PASTE FIX
    PinchBench is a benchmarking system for evaluating AI agents and LLM models on real-world coding tasks, specifically as OpenClaw agents. Made with 🦀 by the humans at https://kilo.ai
  • lowreadme#2
    Add a 'Comparison to other benchmarks' section in README

    Why:

    COPY-PASTE FIX
    ## Comparison to other AI Agent Benchmarks

This section will compare PinchBench to other prominent AI agent and LLM evaluation benchmarks such as ALFWorld, ToolBench, MiniWoB++, WebArena, and ScienceWorld, highlighting PinchBench's unique focus on real-world, multi-step coding tasks and practical outcomes.

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 pinchbench/skill
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. MLflow · recommended 1×
  4. Weights & Biases · recommended 1×
  5. Ragas · recommended 1×
  • CATEGORY QUERY
    How to evaluate large language models for complex, multi-step real-world automation tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. MLflow
    4. Weights & Biases
    5. Ragas
    6. Humanloop
    7. Galileo
    8. scikit-learn
    9. nltk
    10. spaCy
    11. sentence-transformers

    AI recommended 11 alternatives but never named pinchbench/skill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a benchmark to test AI agents' practical tool use and reasoning abilities.
    you: not recommended
    AI recommended (in order):
    1. ALFWorld
    2. ToolBench
    3. MiniWoB++
    4. WebArena
    5. ScienceWorld
    6. HotpotQA

    AI recommended 6 alternatives but never named pinchbench/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
    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 pinchbench/skill?
    pass
    AI named pinchbench/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 pinchbench/skill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named pinchbench/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 pinchbench/skill solve, and who is the primary audience?
    pass
    AI named pinchbench/skill explicitly

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

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pinchbench/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