RRepoGEO

REPOGEO REPORT · LITE

FradSer/dotclaude

Default branch main · commit e2924059 · scanned 6/11/2026, 7:16:48 PM

GitHub: 557 stars · 45 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 FradSer/dotclaude, 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
  • highlicense#1
    Add a standard LICENSE file

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, for example, containing the text of the MIT License.
  • highreadme#2
    Reposition README opening to clarify its role as a comprehensive AI development environment

    Why:

    CURRENT
    A curated collection of 13 plugins for Claude Code, providing specialized agents, skills, and automation tools for development and productivity workflows.
    COPY-PASTE FIX
    FradSer/dotclaude is a comprehensive development environment powered by specialized AI agents, offering a curated collection of 13 plugins for Claude Code. It provides advanced tools for code review, security analysis, refactoring, and automating development workflows, positioning it as a powerful alternative to tools like GitHub Copilot or Snyk Code for enhancing code quality and developer productivity.
  • mediumtopics#3
    Expand repository topics to reflect core functionalities

    Why:

    CURRENT
    claude
    COPY-PASTE FIX
    claude, ai-agents, code-review, security-analysis, refactoring, dev-tools, workflow-automation, git-automation, github-automation, developer-productivity

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 FradSer/dotclaude
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. Tabnine · recommended 2×
  3. DeepCode AI (Snyk Code) · recommended 1×
  4. Codiga · recommended 1×
  5. CodeGuru (Amazon CodeGuru) · recommended 1×
  • CATEGORY QUERY
    What AI-powered tools can automate my development workflows and improve code quality?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. DeepCode AI (Snyk Code)
    4. Codiga
    5. CodeGuru (Amazon CodeGuru)
    6. Ponicode
    7. Mutable.ai

    AI recommended 7 alternatives but never named FradSer/dotclaude. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking intelligent agents for code review, security analysis, and refactoring assistance.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Snyk Code
    3. SonarQube (SonarSource/sonarqube)
    4. CodeGuru Reviewer
    5. Tabnine
    6. CodiumAI

    AI recommended 6 alternatives but never named FradSer/dotclaude. 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 FradSer/dotclaude?
    pass
    AI named FradSer/dotclaude explicitly

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

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

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

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FradSer/dotclaude — 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