RRepoGEO

REPOGEO REPORT · LITE

sno-ai/mda

Default branch main · commit 03a0f412 · scanned 5/31/2026, 11:22:05 PM

GitHub: 563 stars · 14 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 sno-ai/mda, 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
    Reposition README H1 and opening paragraph to clarify its role as an AI agent skill specification and compiler.

    Why:

    CURRENT
    # 📝 MDA Open Spec — Markdown for Agent
> A Markdown superset for agent-facing documents. **One source, many targets** — compile into the `.md` files every major agent runtime already loads. **Tamper-evident at load** — every artifact carries a reproducible content digest, and signed artifacts carry Sigstore-anchored signatures, so neither the agent loading the doc nor the human reviewing it has to trust an unsigned blob.
    COPY-PASTE FIX
    # 📝 MDA Open Spec — The Universal Markdown Standard for AI Agent Skills

MDA is a Markdown superset designed specifically for agent-facing documents. It allows you to write a single `.mda` source file that compiles into the various `.md` formats required by major AI agent runtimes, such as `SKILL.md`, `AGENTS.md`, `MCP-SERVER.md`, and `CLAUDE.md`. MDA ensures consistency across platforms, with JSON Schema validation, typed dependency graphs, and Sigstore-anchored signatures for tamper-evident artifacts.
  • mediumtopics#2
    Add more specific topics related to agent skill management and multi-platform documentation.

    Why:

    CURRENT
    agentic-ai, agents-md, ai-agents, ai-native, claude-md, conformance, json-schema, llm, markdown-lang, mda, open-spec, sigstore, skill-md, sno, sno-ai
    COPY-PASTE FIX
    agentic-ai, agents-md, ai-agents, ai-native, claude-md, conformance, json-schema, llm, markdown-lang, mda, open-spec, sigstore, skill-md, sno, sno-ai, agent-skills-management, multi-agent-system, agent-runtime-spec, ai-documentation, skill-definition, secure-ai-docs
  • lowreadme#3
    Add a 'Comparison' section to the README to differentiate from generic documentation tools.

    Why:

    COPY-PASTE FIX
    ## Comparison to other tools

Unlike generic documentation platforms like Confluence, GitBook, or Notion, MDA is purpose-built for AI agent skill documentation, focusing on compilation to multiple agent runtime formats, JSON Schema validation, and cryptographic signatures. While tools like OpenAPI or JSON Schema define data structures, MDA defines the *behavioral and instructional content* for agents, ensuring consistency and verifiability across diverse AI platforms.

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 sno-ai/mda
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Confluence
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Confluence · recommended 2×
  2. Notion · recommended 2×
  3. GitBook · recommended 1×
  4. Read the Docs · recommended 1×
  5. DocuSign Gen · recommended 1×
  • CATEGORY QUERY
    How to manage agent skill documentation for multiple AI platforms from a single source?
    you: not recommended
    AI recommended (in order):
    1. Confluence
    2. GitBook
    3. Read the Docs
    4. Notion
    5. DocuSign Gen
    6. Microsoft SharePoint
    7. Google Sites

    AI recommended 7 alternatives but never named sno-ai/mda. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create secure, validated documentation for AI agent behavior and skills?
    you: not recommended
    AI recommended (in order):
    1. OpenAPI
    2. Swagger UI
    3. Postman
    4. JSON Schema
    5. Gherkin
    6. Cucumber
    7. Behave
    8. Pydantic
    9. DocuSign
    10. Adobe Acrobat Sign
    11. Confluence
    12. Notion
    13. GitHub Wiki
    14. GitLab Wiki
    15. Mermaid

    AI recommended 15 alternatives but never named sno-ai/mda. 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 sno-ai/mda?
    pass
    AI named sno-ai/mda explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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