# Add to your Claude Code skills
git clone https://github.com/githubnext/gh-awLast scanned: 5/28/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-28T08:00:04.034Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": true
}gh-aw is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by githubnext. GitHub Agentic Workflows. It has 341 GitHub stars.
Yes. gh-aw passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/githubnext/gh-aw" and add it to your Claude Code skills directory (see the Installation section above).
gh-aw is primarily written in Go. It is open-source under githubnext on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh gh-aw against similar tools.
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Write agentic workflows in natural language markdown, and run them in GitHub Actions.
Ready to get your first agentic workflow running? Follow our step-by-step Quick Start Guide to install the extension, add a sample workflow, and see it in action.
Learn about the concepts behind agentic workflows, explore available workflow types, and understand how AI can automate your repository tasks. See How It Works.
GitHub Agentic Workflows transforms natural language markdown files into GitHub Actions that are executed by AI agents. Here's an example:
---
on:
schedule: daily
permissions:
contents: read
issues: read
pull-requests: read
safe-outputs:
create-issue:
title-prefix: "[team-status] "
labels: [report, daily-status]
close-older-issues: true
---
## Daily Issues Report
Create an upbeat daily status report for the team as a GitHub issue.
The gh aw cli converts this into a GitHub Actions Workflow (.yml) that runs an AI agent (Copilot, Claude, Codex, ...) in a containerized environment on a schedule or manually.
The AI agent reads your repository context, analyzes issues, generates visualizations, and creates reports - all defined in natural language rather than complex code.
Security is foundational to GitHub Agentic Workflows. Workflows run with read-only permissions by default, with write operations only allowed through sanitized safe-outputs. The system implements multiple layers of protection including sandboxed execution, input sanitization, network isolation, supply chain security (SHA-pinned dependencies), tool allow-listing, and compile-time validation. Access can be gated to team members only, with human approval gates for critical operations, ensuring AI agents operate safely within controlled boundaries. See the Security Guide for comprehensive details on threat modeling, implementation guidelines, and best practices.
[!WARNING] Using agentic workflows in your repository requires careful attention to security considerations and careful human supervision, and even then things can still go wrong. Use it with caution, and at your own risk.
For complete documentation, examples, and guides, see the Documentation.
We welcome contributions to GitHub Agentic Workflows! Here's how you can help:
#continuous-ai channel in the GitHub Next DiscordFor development setup and contribution guidelines, see CONTRIBUTING.md.
We welcome your feedback on GitHub Agentic Workflows! Please file bugs and feature requests as issues in this repository,
and share your thoughts in the #continuous-ai channel in the GitHub Next Discord.
See the Peli's Agent Factory for a guided tour through many uses of agentic workflows.
GitHub Agentic Workflows is supported by companion projects that provide additional security and integration capabilities:
[!TIP] For AI Agents: To learn about GitHub Agentic Workflows syntax, file formats, tools, and best practices, please read the comprehensive instructions at .github/aw/github-agentic-workflows.md
Repository Configuration: To configure a repository for GitHub Agentic Workflows, follow the interactive setup wizard at install.md
Custom Agent: Use the custom agent at .github/agents/agentic-workflows.agent.md to interactively create agentic workflows.