# Disk.Brain

> Disk.Brain — mhancock537-disk-brain. Use this tool when you need to search and retrieve specific information from documents stored locally on your Mac, without compromising data privacy or security. Disk.Brain solves the problem of finding relevant documents and information on your own machine, using hybrid retrieval and semantic search capabilities. It takes in local document inputs and outputs relevant search results, making it ideal for use cases where data confidentiality is a top priority.

Canonical page: https://skillsregistry.net/skills/mhancock537-disk-brain  
JSON: https://api.skillsregistry.net/v1/skills/mhancock537-disk-brain

## Description

Local semantic search over the documents on your own Mac. OKF knowledge bundle, hybrid retrieval, MCP server. Nothing leaves the machine.

## Trust

- **Trust score (0–1):** 0.15
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/mhancock537/Disk.Brain)

## 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": "mhancock537-disk-brain"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mhancock537-disk-brain` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mhancock537-disk-brain/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