# GitPry

> Use this tool when you need to explore and understand Git history using natural language queries, solving problems such as identifying changes, tracking updates, and resolving version control issues. GitPry takes natural language inputs and returns relevant Git history information as output. It is ideal for developers and teams seeking to simplify their Git workflow and improve collaboration.

Canonical page: https://skillsregistry.net/skills/hoodies-gent-gitpry  
JSON: https://api.skillsregistry.net/v1/skills/hoodies-gent-gitpry

## Description

Talk to Git history with natural language.

## Trust

- **Trust score (0–1):** 0.73
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/hoodies-gent/GitPry)

## 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": "hoodies-gent-gitpry"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hoodies-gent-gitpry` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hoodies-gent-gitpry/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