RRepoGEO

REPOGEO REPORT · LITE

ctlllll/LLM-ToolMaker

Default branch main · commit 4169219e · scanned 5/18/2026, 10:53:27 AM

GitHub: 1,061 stars · 99 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 ctlllll/LLM-ToolMaker, 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
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A closed-loop framework where Large Language Models (LLMs) autonomously create and apply their own reusable Python tools for problem-solving, removing dependency on existing tools.
  • hightopics#2
    Add relevant GitHub topics

    Why:

    COPY-PASTE FIX
    llm, large-language-models, tool-making, tool-use, ai-agents, autonomous-ai, python, generative-ai
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, for example, by choosing an appropriate open-source license like MIT or Apache-2.0 via GitHub's interface.

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 ctlllll/LLM-ToolMaker
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI's Function Calling
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI's Function Calling · recommended 1×
  2. LangChain · recommended 1×
  3. Auto-GPT / BabyAGI · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Code Interpreter (Advanced Data Analysis) in ChatGPT Plus · recommended 1×
  • CATEGORY QUERY
    How can large language models autonomously generate custom Python tools for complex problem-solving?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Function Calling
    2. LangChain
    3. Auto-GPT / BabyAGI
    4. LlamaIndex
    5. Code Interpreter (Advanced Data Analysis) in ChatGPT Plus
    6. Hugging Face Transformers Agents
    7. Custom Python Scripting with LLM APIs

    AI recommended 7 alternatives but never named ctlllll/LLM-ToolMaker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for AI agents to dynamically create and apply their own utility functions?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3
    2. Ray RLlib
    3. Tianshou
    4. Pyro
    5. Stan
    6. Edward2
    7. Platypus
    8. pymoo
    9. SOAR
    10. ACT-R
    11. DEAP
    12. PyGAD

    AI recommended 12 alternatives but never named ctlllll/LLM-ToolMaker. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 ctlllll/LLM-ToolMaker?
    pass
    AI did not name ctlllll/LLM-ToolMaker — 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 ctlllll/LLM-ToolMaker in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ctlllll/LLM-ToolMaker 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 ctlllll/LLM-ToolMaker solve, and who is the primary audience?
    pass
    AI named ctlllll/LLM-ToolMaker 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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MARKDOWN (README)
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ctlllll/LLM-ToolMaker — 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