# Scour

> Scour — revisetouch-scour. Use this tool when you need to quickly locate files on your local system, as Scour provides fast and efficient file indexing and searching capabilities, solving problems like slow file retrieval and disorganization, with a simple interface that accepts search queries and returns relevant file results. It is particularly useful for developers and power users who work with large file systems or repositories, including git. Scour can be used in place of manual file browsing or other slower search methods.

Canonical page: https://skillsregistry.net/skills/revisetouch-scour  
JSON: https://api.skillsregistry.net/v1/skills/revisetouch-scour

## Description

A fast local file index and search — the Linux answer to Everything.

## Trust

- **Trust score (0–1):** 0.20
- **Verification tier:** scanned
- **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/ReviseTouch/Scour)

## 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": "revisetouch-scour"
    }
  }
}
```

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