RRepoGEO

REPOGEO REPORT · LITE

revfactory/harness-100

Default branch main · commit 8e8d35c6 · scanned 6/5/2026, 9:12:49 AM

GitHub: 910 stars · 321 forks

AI VISIBILITY SCORE
30 /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
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 revfactory/harness-100, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A collection of 100 production-grade AI agent team harnesses for Claude Code, covering 10 domains in both English and Korean.
  • highreadme#2
    Clarify the README's opening sentence to emphasize AI agents

    Why:

    CURRENT
    # Harness 100

Production-grade agent team harness collection for Claude Code.
    COPY-PASTE FIX
    # Harness 100

This repository provides a collection of 100 production-grade AI agent team harnesses for Claude Code.

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 revfactory/harness-100
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Hub
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Hub · recommended 1×
  2. LangChain Hub · recommended 1×
  3. run-llama/llama_index · recommended 1×
  4. openai/openai-cookbook · recommended 1×
  5. Weights & Biases · recommended 1×
  • CATEGORY QUERY
    How to find pre-built AI agent configurations for various production-grade tasks?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Hub
    2. LangChain Hub
    3. LlamaIndex (run-llama/llama_index)
    4. OpenAI Cookbook (openai/openai-cookbook)
    5. Weights & Biases
    6. Microsoft Semantic Kernel (microsoft/semantic-kernel)

    AI recommended 6 alternatives but never named revfactory/harness-100. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some frameworks for deploying multi-domain AI agent teams with international language support?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Semantic Kernel
    3. Haystack
    4. AutoGen
    5. LlamaIndex
    6. Rasa

    AI recommended 6 alternatives but never named revfactory/harness-100. 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 revfactory/harness-100?
    pass
    AI named revfactory/harness-100 explicitly

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

  • If a team adopts revfactory/harness-100 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named revfactory/harness-100 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 revfactory/harness-100 solve, and who is the primary audience?
    pass
    AI named revfactory/harness-100 explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite