A fast, lightweight GitHub Action that automatically reviews pull requests using AI models like GPT or Claude.
Robin AI Reviewer is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view Integral-Healthcare/robin-ai-reviewer --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Robin AI is a tool that automatically reviews your pull requests. It uses AI to analyze code changes, give a quality score, and suggest improvements. It runs quickly (average 14 seconds) and works with OpenAI or Anthropic models.
Robin AI is an open-source GitHub Action (and GitLab CI job) that automatically reviews pull requests and merge requests using AI models from OpenAI (GPT) or Anthropic (Claude). It analyzes code changes and provides a quality score (0-100), actionable improvement suggestions, and sample code snippets for better implementation. The action is designed to be fast (average runtime: 14 seconds) and lightweight. It supports ignoring specific files, custom AI models, and both GitHub and GitLab platforms. The tool is named after Batman's assistant, Robin, emphasizing its role as a helpful sidekick for developers.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 8 days ago.
62 GitHub stars indicate community interest.
3 open issues signal maintenance load.
MIT license detected.
Automatically review pull requests in CI/CD pipelines to catch issues early.
Provide code quality scores and improvement suggestions for team code reviews.
Speed up code review process by generating initial AI feedback before human review.
Integrate with GitHub Actions to enforce code quality standards automatically.
Use with GitLab CI for merge request reviews in GitLab projects.
API keys for OpenAI or Anthropic are required and must be stored securely as GitHub secrets.
Code changes are sent to third-party AI providers for analysis; ensure compliance with data privacy policies.
The tool runs with write permissions to pull requests and issues; review permissions carefully.
62
Stars
4
Forks
3
Issues
MIT
License
Local GitHub Actions runner for AI agents — test CI/CD workflows locally before pushing.
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AI-powered GitHub automation for issue triage, PR review, labeling, and security scanning.
3 security/trust notes recorded.
Setup difficulty is 2/5.