# metahub-docs

> metahub-docs — metahub-ai-metahub-docs. Use this tool when you need to integrate and manage AI tools and skills in a unified infrastructure. It solves problems of installation, observability, and evaluation for AI tools by providing a registry and framework for seamless integration. The metahub-docs tool accepts git inputs and outputs configured AI tools and skills, making it ideal for use cases that require streamlined AI tool management.

Canonical page: https://skillsregistry.net/skills/metahub-ai-metahub-docs  
JSON: https://api.skillsregistry.net/v1/skills/metahub-ai-metahub-docs

## Description

metahub is building the missing infrastructure for AI tools, in the open — a registry that installs skills, MCP servers, agents and plugins into any harness, free publisher observability, and an eval framework going open source.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/metahub-ai/metahub-docs)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "metahub-ai-metahub-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/metahub-ai-metahub-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/metahub-ai-metahub-docs/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt