# milky-file-search

> Use this tool when you need to efficiently search for files within a Git repository, solving problems like locating specific code snippets or files across multiple branches and commits. It takes in search queries and repository information as input, and outputs relevant file paths and contents. Ideal for use cases where quick file discovery is crucial, such as debugging, code reviews, or knowledge sharing.

Canonical page: https://skillsregistry.net/skills/deep7235-milky-file-search  
JSON: https://api.skillsregistry.net/v1/skills/deep7235-milky-file-search

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/deep7235/milky-file-search)

## 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": "deep7235-milky-file-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deep7235-milky-file-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deep7235-milky-file-search/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