# quarry

> quarry — sait-turanalp-quarry. Use this tool when you need to analyze local code changes and predict potential breakages, or quickly locate specific files within a repository. Quarry solves problems of code maintenance and navigation, providing fast and accurate results without requiring GPU power or uploading data. It integrates with git, taking in code repositories as input and outputting relevant file locations and potential breakage points.

Canonical page: https://skillsregistry.net/skills/sait-turanalp-quarry  
JSON: https://api.skillsregistry.net/v1/skills/sait-turanalp-quarry

## Description

Local code intelligence engine for AI coding agents. Answers "what breaks if I change this" and finds the right file for 99.4% fewer tokens than grep and read. Fully local, no GPU, no upload.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/sait-turanalp/quarry)

## 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": "sait-turanalp-quarry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sait-turanalp-quarry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sait-turanalp-quarry/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