RRepoGEO

REPOGEO REPORT · LITE

manparvesh/yoda

Default branch v2 · commit e8fdbb20 · scanned 6/10/2026, 7:31:54 PM

GitHub: 751 stars · 154 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 manparvesh/yoda, 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 README's opening statement to clearly define Yoda PA's purpose

    Why:

    CURRENT
    Personal Assistant on the command line.
    COPY-PASTE FIX
    Yoda PA is an extensible command-line interface (CLI) for interacting with local and remote Large Language Models (LLMs), designed for personal productivity and development tasks.
  • highlicense#2
    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 with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0). If a custom license is intended, explicitly state the terms in a `LICENSE` file or the README.
  • mediumreadme#3
    Expand the README's introductory section to highlight its plugin architecture

    Why:

    COPY-PASTE FIX
    Yoda PA is an extensible command-line interface (CLI) for interacting with local and remote Large Language Models (LLMs), designed for personal productivity and development tasks. It features a robust plugin architecture, allowing users to easily extend its capabilities or even generate new plugins with AI, making it a versatile tool for developers and power users.

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 manparvesh/yoda
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot CLI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot CLI · recommended 1×
  2. Fig AI · recommended 1×
  3. Shell Genie · recommended 1×
  4. Aider · recommended 1×
  5. OpenAI CLI · recommended 1×
  • CATEGORY QUERY
    Looking for a command-line AI assistant to help with daily development tasks.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot CLI
    2. Fig AI
    3. Shell Genie
    4. Aider
    5. OpenAI CLI
    6. Google Bard
    7. OpenAI's ChatGPT
    8. shell-gpt

    AI recommended 8 alternatives but never named manparvesh/yoda. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some extensible terminal-based chatbots for personal productivity?
    you: not recommended
    AI recommended (in order):
    1. GPT-CLI
    2. ShellGPT (sgpt)
    3. AITextGen
    4. MyCli
    5. Rich

    AI recommended 5 alternatives but never named manparvesh/yoda. 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 manparvesh/yoda?
    pass
    AI named manparvesh/yoda explicitly

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

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

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

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manparvesh/yoda — 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