# Drydock

> Drydock — lumi-node-drydock. Use this tool when you need to deconstruct and analyze codebases, identifying boundaries, dependencies, interfaces, and code maps. It solves problems related to code comprehension, dependency management, and interface analysis, providing insights through a command-line interface and MCP server. Ideal for use with git-based projects, Drydock offers a dependency-free, pure Python solution for code analysis.

Canonical page: https://skillsregistry.net/skills/lumi-node-drydock  
JSON: https://api.skillsregistry.net/v1/skills/lumi-node-drydock

## Description

Agentic toolchest for deconstructing codebases. MCP server + CLI analyzers for boundaries, dependencies, interfaces, and code maps. Pure Python, zero deps.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Lumi-node/Drydock)

## 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": "lumi-node-drydock"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lumi-node-drydock` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lumi-node-drydock/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