RRepoGEO

REPOGEO REPORT · LITE

revfactory/harness

Default branch main · commit 85b82948 · scanned 5/19/2026, 1:13:00 PM

GitHub: 3,443 stars · 515 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
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 revfactory/harness, 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
    Add explicit disambiguation to the README's opening

    Why:

    CURRENT
    # Harness — The Team-Architecture Factory for Claude Code
**English** | [한국어](README_KO.md) | [日本語](README_JA.md)
> **Harness is a team-architecture factory for Claude Code.**
    COPY-PASTE FIX
    # Harness — The Team-Architecture Factory for Claude Code
**Note: This project is an AI agent factory for Claude Code, not a testing or distributed systems framework.**
**English** | [한국어](README_KO.md) | [日本語](README_JA.md)
> **Harness is a team-architecture factory for Claude Code.**
  • mediumtopics#2
    Add relevant AI agent and LLM topics

    Why:

    CURRENT
    claude-code, claude-code-plugin, harness, harness-engineering
    COPY-PASTE FIX
    claude-code, claude-code-plugin, harness, harness-engineering, ai-agents, llm, agent-framework
  • lowabout#3
    Refine the 'About' description for explicit AI/LLM keywords

    Why:

    CURRENT
    A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
    COPY-PASTE FIX
    A meta-skill for AI agents that designs domain-specific agent teams, defines specialized agents, and generates their skills for Large Language Models (LLMs).

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
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CrewAI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. CrewAI · recommended 1×
  2. AutoGen · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How to automatically design and generate agent teams for complex project tasks?
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. AutoGen
    3. LangChain
    4. LlamaIndex
    5. Haystack

    AI recommended 5 alternatives but never named revfactory/harness. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tools to automate the definition and skill generation for specialized AI agents.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    3. LlamaIndex (run-llama/llama_index)
    4. Haystack (deepset-ai/haystack)
    5. OpenAI Assistants API
    6. AutoGPT (Significant-Gravitas/AutoGPT)
    7. BabyAGI (yoheinakajima/babyagi)

    AI recommended 7 alternatives but never named revfactory/harness. 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 revfactory/harness?
    pass
    AI named revfactory/harness 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 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named revfactory/harness 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 solve, and who is the primary audience?
    pass
    AI named revfactory/harness explicitly

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

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revfactory/harness — 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