# docorbit

> docorbit — hakashikatake-docorbit. Use this tool when you need to ensure accuracy and consistency of documentation in your project, particularly when resolving dependencies and verifying generated code. DocOrbit solves problems related to outdated or incorrect documentation by retrieving task-specific context and verifying code against documentation contracts. It takes project dependencies and code as input and outputs verified, authoritative documentation, making it ideal for use in git-based development workflows.

Canonical page: https://skillsregistry.net/skills/hakashikatake-docorbit  
JSON: https://api.skillsregistry.net/v1/skills/hakashikatake-docorbit

## Description

DocOrbit discovers authoritative documentation, resolves it against your project's dependency versions, retrieves task-specific context, and verifies generated code against documentation contracts.

## 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:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/HakashiKatake/docorbit)

## 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": "hakashikatake-docorbit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hakashikatake-docorbit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hakashikatake-docorbit/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