RRepoGEO

REPOGEO REPORT · LITE

nizos/tdd-guard

Default branch main · commit 40fac08b · scanned 5/11/2026, 10:32:10 PM

GitHub: 2,100 stars · 160 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 nizos/tdd-guard, 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
    Reposition README opening to clarify unique TDD enforcement for LLM agents

    Why:

    CURRENT
    # TDD Guard

Automated Test-Driven Development enforcement for Claude Code.

TDD Guard ensures Claude Code follows Test-Driven Development principles. When your agent tries to skip tests or over-implement, TDD Guard blocks the action and explains what needs to happen instead.
    COPY-PASTE FIX
    # TDD Guard: Test-First Enforcement for LLM-Generated Code

TDD Guard is a specialized enforcement layer designed to ensure strict Test-Driven Development (TDD) principles are followed by LLM agents like Claude Code. Unlike generic test frameworks or coverage tools, TDD Guard actively blocks agents from implementing code without failing tests or over-implementing beyond current test requirements, guiding them towards a true test-first workflow.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://www.npmjs.com/package/tdd-guard

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 nizos/tdd-guard
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pytest
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pytest · recommended 2×
  2. Marvin · recommended 1×
  3. Instructor · recommended 1×
  4. LangChain · recommended 1×
  5. Guardrails AI · recommended 1×
  • CATEGORY QUERY
    What tools enforce test-first development when using LLM-powered code generation?
    you: not recommended
    AI recommended (in order):
    1. Marvin
    2. Instructor
    3. LangChain
    4. Guardrails AI
    5. Pytest
    6. Semantic Kernel

    AI recommended 6 alternatives but never named nizos/tdd-guard. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I automate TDD compliance checks in my development workflow?
    you: not recommended
    AI recommended (in order):
    1. JUnit
    2. NUnit
    3. Pytest
    4. RSpec
    5. Jest
    6. JaCoCo
    7. OpenCover
    8. Coverage.py
    9. SimpleCov
    10. Istanbul
    11. SonarQube
    12. GitHub Actions
    13. GitLab CI/CD
    14. Jenkins
    15. Azure DevOps Pipelines
    16. Husky
    17. Mutant
    18. PITest

    AI recommended 18 alternatives but never named nizos/tdd-guard. 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 nizos/tdd-guard?
    pass
    AI named nizos/tdd-guard explicitly

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

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

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

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MARKDOWN (README)
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nizos/tdd-guard — 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