Claude Code Action: Anthropic's TypeScript GitHub Action
Claude Code Action is the MIT-licensed TypeScript GitHub Action published by Anthropic. Stars stand at 9.1K with 805 open issues since May 2025.
TL;DR: Claude Code Action is the MIT-licensed TypeScript repository published under the
anthropicsGitHub Organization. The repository has climbed to 9.1K stars since May 2025 and is the canonical home for Anthropic’s GitHub Action integration with Claude Code.
What it is
The repository anthropics/claude-code-action is published by anthropics, the GitHub Organization associated with Anthropic. The repository name points at a GitHub Action integration: the claude-code-action action runs Claude Code, Anthropic’s coding agent, against a repository’s pull requests, issues, and review comments from a workflow run.
TypeScript is the language of the repository, MIT is the license, and there is no configured homepage on the GitHub metadata. The repository description field is empty on the public API, which is unusual for a project of this profile.
What the data points tell you
- 9,103 stars and 2,164 forks since the repository was created on 2025-05-19.
- 805 open issues. The ratio of issues to stars (~9%) is high, which is consistent with a public-facing integration that sees heavy usage across many different repos and CI environments, each with its own configuration footguns.
- Topics empty. The absence of topics keeps the project discoverable only through direct linkage.
- Most recent push 2026-09-25, two days before this post.
For a project owned by an LLM-vendor organization, this is the canonical place to look when something the action does not match expectations. Many of the open issues are configuration troubleshooting rather than bug reports.
How to try it
The standard on-ramp for an Anthropic-published GitHub Action in 2026:
- Install the action by referencing
anthropics/claude-code-actionin a workflow file under.github/workflows/. - Provide the API key Anthropic documents for the action, via repository secrets.
- Configure the trigger events (issue opened, pull request opened, comment created) to match how the team wants Claude Code to enter the conversation.
- Watch the first few runs from the Actions tab, since the action’s idempotency around long threads is where surprises usually hide.
The repository’s README is the canonical reference for the supported triggers and configuration keys. Vendored forks will lag the upstream, so the canonical install is the upstream action pinned to a release tag.
When to evaluate Claude Code Action
Pick Claude Code Action when the team is already running GitHub Actions and wants an LLM-augmented first-pass review, triage, or change request flow without bolting on a separate CI runner. The action’s value is its tight integration with the events the team already cares about.
Skip it when the team’s CI does not run on GitHub Actions, or when the team prefers a self-hosted agent (Claude Code itself) running on a developer laptop rather than at PR time on a public runner.
Configuration surface
Configuration lives in the GitHub Actions YAML for the action itself and in repository or environment secrets for the API token. The action’s input keys are where the team decides which events trigger runs and what context Claude Code receives.
Source and Accuracy Notes
- Project page: (none configured on GitHub)
- Source repository:
anthropics/claude-code-action(verified via GitHub APIhtml_url) - License: MIT (verified via GitHub API
license.spdx_id) - Stars at time of writing: 9,103
Related Posts
ai-setup
Recall – Persistent Memory for Claude Code via MCP Hooks
Recall gives Claude Code a permanent memory store that survives session restarts and context compaction. Four hooks capture and restore context automatically — with cloud SaaS or self-hosted options.
2/28/2026
dev-tools
Automotive Skills Suite for AI Engineering
Evaluate Automotive Skills Suite for APQP, ASPICE, HARA, safety-plan, and DIA workflows with setup notes, governance risks, and SME review guidance.
5/28/2026
dev-tools
awesome-agentic-ai-zh Roadmap Guide
Explore awesome-agentic-ai-zh as a Chinese agentic AI learning roadmap, with setup notes, track selection, study workflow, and evaluation guidance.
5/28/2026