# search_it

> search_it — quantumxiaol-search-it. Use this tool when you need to efficiently search and crawl through large datasets or repositories, such as git, to retrieve specific information or files. It solves problems related to data discovery, retrieval, and management by providing a centralized search functionality. The search_it tool takes in search queries as input and outputs relevant results, making it ideal for use cases where quick data access is crucial.

Canonical page: https://skillsregistry.net/skills/quantumxiaol-search-it  
JSON: https://api.skillsregistry.net/v1/skills/quantumxiaol-search-it

## Description

A MCP Server of Search and Crawler

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **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/quantumxiaol/search_it)

## 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": "quantumxiaol-search-it"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quantumxiaol-search-it` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quantumxiaol-search-it/pull`

---
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