A powerful skill for managing GitHub issues, pull requests, and repositories directly through an AI-driven interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-automation
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install github-automation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is GitHub Automation?
GitHub Automation is a specialized capability within the Openclaw Skills ecosystem designed to eliminate context switching between your development environment and the web browser. It allows developers to interact with the GitHub API to manage the entire lifecycle of a project—from initial issue creation to final pull request reviews—using natural language commands or structured scripts.
This integration is vital for maintainers and contributors who need to keep their focus on code while staying on top of project management. By leveraging this Openclaw Skills entry, teams can automate repetitive administrative tasks and ensure that their project documentation remains in sync with their active development cycle.
GitHub Automation Use Cases
- Monitoring the status of multiple pull requests across different repositories from a single view.
- Rapidly creating, labeling, and assigning issues during active debugging sessions.
- Checking organization-wide notifications and starred repositories without leaving the terminal.
- Automating repository health checks and commit history retrieval for stand-up reports.
How GitHub Automation Works
- The AI agent receives a natural language or CLI command related to a GitHub task (e.g., "check my prs").
- The skill validates the presence of the GITHUB_TOKEN environment variable for secure authentication.
- The underlying gh_tool.py script is invoked to communicate with the GitHub REST API.
- The system processes the API response, formatting the data into human-readable summaries or actionable URLs.
- Success or failure confirmations are returned to the user, providing a closed-loop feedback mechanism for every action.
GitHub Automation Setup
To deploy this GitHub Automation skill, you must first generate a Personal Access Token (PAT) with the following scopes: repo, issues, pull_requests, and notifications. Once generated, configure your environment:
export GITHUB_TOKEN=ghp_your_personal_access_token_here
You can then run the tool directly using Python for various automation tasks:
# Example: Create an issue via the script
python scripts/gh_tool.py issue create "Bug Title" "Description" --repo owner/repo
GitHub Automation Data Schema & Taxonomy
The skill organizes data based on standard GitHub objects. Below is the metadata taxonomy used for processing responses:
| Object Type | Managed Attributes | Output Format |
|---|---|---|
| Issues | Title, Body, Labels, State (Open/Closed) | Formatted List / Direct URL |
| Pull Requests | Merge Status, Reviewer Info, Branch Name | Status Report / Review Links |
| Repositories | Stats, Commits, Recent Activity | Data Tables |
| Notifications | Activity Type, Repository Origin | Alert Summary |
GitHub Automation Advanced Features
- Support for cross-repository management allowing users to track issues across different orgs and owners.
- Granular permission handling by respecting the specific scopes of the provided GITHUB_TOKEN.
- Programmatic issue closing and commenting for automated CI/CD feedback loops.
- Deep-linking capabilities that provide direct URLs to GitHub web interfaces for manual intervention when needed.
SKILL.md
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