# codesearch

> codesearch — mjpitz-codesearch. Use this tool when you need to quickly find specific code snippets, documentation, or infrastructure configurations within large codebases. It solves problems of manual searching and navigation, saving time and increasing productivity for AI agents. The codesearch tool takes in free-text queries as input and returns relevant code locations and documentation as output.

Canonical page: https://skillsregistry.net/skills/mjpitz-codesearch  
JSON: https://api.skillsregistry.net/v1/skills/mjpitz-codesearch

## Description

A free-text search tool that helps AI agents easily locate documentation and infrastructure configuration (like Helm or Terraform) across entire codebases.

## Trust

- **Trust score (0–1):** 0.91
- **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/mjpitz/codesearch)

## 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": "mjpitz-codesearch"
    }
  }
}
```

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