RRepoGEO

REPOGEO REPORT · LITE

amElnagdy/guard-skills

Default branch master · commit d6360739 · scanned 6/14/2026, 9:33:27 AM

GitHub: 698 stars · 80 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 amElnagdy/guard-skills, 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
    Clarify the unique value proposition in the README's opening sentence

    Why:

    CURRENT
    Focused **guard skills** for coding agents: second-pass quality gates that catch the systematic failure modes of AI-generated code, tests, and docs before they ship.
    COPY-PASTE FIX
    Focused **guard skills** for coding agents: automated, second-pass quality gates specifically designed to catch systematic failure modes in *AI-generated* code, tests, and docs before they ship. Unlike traditional static analysis, guard-skills focuses on LLM-specific issues.
  • mediumtopics#2
    Add more specific topics related to AI code review and LLM output validation

    Why:

    CURRENT
    agent-skills, ai, claude, claude-code, code-review, codex, skills-sh, woocommerce, wordpress
    COPY-PASTE FIX
    agent-skills, ai, claude, claude-code, codex, skills-sh, woocommerce, wordpress, llm-validation, ai-code-review, generative-ai-quality, ai-agent-tools
  • lowcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Unlike traditional static analysis tools (e.g., SonarQube, ESLint) which focus on general code quality and style, `guard-skills` is specifically engineered to identify and correct systematic failure modes unique to *AI-generated* code, tests, and documentation. While other AI agent frameworks might offer general capabilities, `guard-skills` provides a distinct layer of 'guardrails' for validating LLM output, ensuring quality and compliance before deployment.

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 amElnagdy/guard-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SonarQube
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SonarQube · recommended 2×
  2. DeepSource · recommended 2×
  3. ESLint · recommended 2×
  4. Pylint · recommended 2×
  5. RuboCop · recommended 2×
  • CATEGORY QUERY
    How to automatically review and improve code generated by AI coding assistants?
    you: not recommended
    AI recommended (in order):
    1. SonarQube
    2. DeepSource
    3. CodeClimate
    4. Codiga
    5. ESLint
    6. Pylint
    7. RuboCop
    8. Checkstyle
    9. GitHub Copilot
    10. OpenAI's GPT-4

    AI recommended 10 alternatives but never named amElnagdy/guard-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to validate AI-generated documentation and tests for common issues?
    you: not recommended
    AI recommended (in order):
    1. DeepSource
    2. SonarQube
    3. Vale
    4. LanguageTool
    5. spaCy
    6. NLTK
    7. Pylint
    8. ESLint
    9. RuboCop
    10. DocFX
    11. Sphinx
    12. JSDoc

    AI recommended 12 alternatives but never named amElnagdy/guard-skills. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 amElnagdy/guard-skills?
    pass
    AI named amElnagdy/guard-skills explicitly

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

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

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

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amElnagdy/guard-skills — 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