RRepoGEO

REPOGEO REPORT · LITE

e10nMa2k/cc-mini

Default branch main · commit 73c5bc56 · scanned 6/11/2026, 12:32:48 AM

GitHub: 906 stars · 354 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 e10nMa2k/cc-mini, 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
    Clarify the README's opening statement to explicitly position the project

    Why:

    CURRENT
    **Ultra-light Harness scaffolding for AI agentsAgentic**  ·  **Built to Extend**  ·  **From Claude Code**
    COPY-PASTE FIX
    **A lightweight Python framework for building autonomous AI agents.**  ·  **Built to Extend**  ·  **From Claude Code**
  • mediumlicense#2
    Add a standard open-source license file

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root containing the text of the MIT License.

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 e10nMa2k/cc-mini
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CrewAI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. CrewAI · recommended 1×
  2. LangChain · recommended 1×
  3. AutoGen · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How to build autonomous AI agents with a lightweight Python framework?
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. LangChain
    3. AutoGen
    4. LlamaIndex
    5. Haystack

    AI recommended 5 alternatives but never named e10nMa2k/cc-mini. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an interactive terminal environment for developing AI agents with built-in tools.
    you: not recommended
    AI recommended (in order):
    1. JupyterLab Desktop (jupyterlab/jupyterlab-desktop)
    2. VS Code (microsoft/vscode)
    3. tmux (tmux/tmux)
    4. Zsh (zsh-users/zsh)
    5. Oh My Zsh (ohmyzsh/ohmyzsh)
    6. IPython (ipython/ipython)
    7. Jupyter Console (jupyter/jupyter_console)
    8. Google Cloud Shell
    9. AWS Cloud9
    10. Spyder (spyder-ide/spyder)

    AI recommended 10 alternatives but never named e10nMa2k/cc-mini. 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 e10nMa2k/cc-mini?
    pass
    AI did not name e10nMa2k/cc-mini — 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 e10nMa2k/cc-mini in production, what risks or prerequisites should they evaluate first?
    pass
    AI named e10nMa2k/cc-mini 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 e10nMa2k/cc-mini solve, and who is the primary audience?
    pass
    AI named e10nMa2k/cc-mini explicitly

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

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e10nMa2k/cc-mini — 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
e10nMa2k/cc-mini — RepoGEO report