# github-pr

> Use this tool when you need to automate the creation of GitHub pull requests for code changes, such as security fixes or dependency updates, to facilitate human review. It takes input parameters like repository, head and base branches, title, and GitHub API token, and outputs a newly created pull request. Ideal for use in automated pipelines, it streamlines the process of surfacing changes for review and approval.

Canonical page: https://skillsregistry.net/skills/github-pr  
JSON: https://api.skillsregistry.net/v1/skills/github-pr

## Description

Open a GitHub pull request from a head branch to a base branch. Useful as the final step in automated pipelines (security fixes, dependency bumps, generated changes) to surface results for human review.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Tags:** github, pull-request, automation, ci
- **Updated:** 2026-06-16

## Source

- **Source listing:** manual

## 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": "github-pr"
    }
  }
}
```

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