RRepoGEO

REPOGEO REPORT · LITE

mitsuhiko/agent-stuff

Default branch main · commit ab79f981 · scanned 5/26/2026, 1:32:43 PM

GitHub: 2,522 stars · 188 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 mitsuhiko/agent-stuff, 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's opening paragraph for AI agent capabilities

    Why:

    CURRENT
    This repository contains skills and extensions that I use across projects. Note that I often fine-tune these for specific repos, so some items may need small adjustments before reuse. It is released on npm as `mitsupi` for use with the Pi package loader.
    COPY-PASTE FIX
    This repository provides a collection of minimal, composable, and type-safe skills and extensions designed for AI agents, primarily for tool use and integrating with developer workflows and external APIs. It serves as a framework and set of experiments for enhancing agent capabilities, particularly with models like Claude. While often fine-tuned for specific projects, these primitives are released on npm as `mitsupi` for use with the Pi package loader.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://example.com/your-project-homepage (Replace with the actual URL if one exists, or consider creating a simple project page.)

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 mitsuhiko/agent-stuff
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Microsoft Semantic Kernel · recommended 2×
  4. Zapier NLA · recommended 2×
  5. OpenAI Function Calling · recommended 1×
  • CATEGORY QUERY
    Looking for ways to enhance AI agent capabilities with specialized integrations and functions.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Function Calling
    4. Microsoft Semantic Kernel
    5. Hugging Face Transformers
    6. Zapier NLA

    AI recommended 6 alternatives but never named mitsuhiko/agent-stuff. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need to find tools for an AI agent to interact with developer workflows and external APIs.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Assistants API
    4. Microsoft Semantic Kernel
    5. Zapier NLA
    6. requests
    7. Pipedream

    AI recommended 7 alternatives but never named mitsuhiko/agent-stuff. 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 mitsuhiko/agent-stuff?
    pass
    AI named mitsuhiko/agent-stuff explicitly

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

  • If a team adopts mitsuhiko/agent-stuff in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mitsuhiko/agent-stuff 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 mitsuhiko/agent-stuff solve, and who is the primary audience?
    pass
    AI named mitsuhiko/agent-stuff explicitly

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

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mitsuhiko/agent-stuff — 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