A reusable GitHub Action that uses AI to review pull requests with support for self-hosted or cloud models.
pr-reviewer-action is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view misospace/pr-reviewer-action --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.
This GitHub Action automatically reviews pull requests using AI models like OpenAI or Anthropic. It analyzes code changes, linked issues, and repository context to provide structured feedback. You can run it with your own AI endpoint or use cloud services.
pr-reviewer-action is a GitHub Action that leverages AI models (OpenAI-compatible or Anthropic-compatible) to perform automated code reviews on pull requests. It gathers PR metadata, diff context, linked issue context from PR-closing references, optional evidence provider output, optional tool harness output, image digest provenance, basic repository impact/history, and an optional standards file such as CLAUDE.md. The action returns a structured verdict and markdown review body, and can publish or update a sticky PR comment. It supports self-hosted endpoints, cloud subscriptions, fallback models, and includes an upstream link sanitizer to prevent notification noise. The action can automatically skip reviews when the PR diff is unchanged since the last review.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 51 days ago.
6 GitHub stars indicate community interest.
13 open issues signal maintenance load.
MIT license detected.
Automate code review for every pull request in a repository to catch issues early.
Use a self-hosted AI model for privacy-sensitive codebases.
Integrate with existing CI/CD pipelines to enforce code quality standards.
Provide consistent, structured feedback on PRs without manual effort.
Reduce reviewer workload by handling routine checks automatically.
API keys for AI endpoints must be stored securely as GitHub secrets.
Code diffs are sent to the AI provider; ensure compliance with data policies.
Self-hosted endpoints reduce data exposure but require maintenance.
6
Stars
0
Forks
13
Issues
MIT
License
A CLI tool to create and hide GitHub comments using the GitHub REST API.
AI-powered GitHub automation for issue triage, PR review, labeling, and security scanning.
Local GitHub Actions runner for AI agents — test CI/CD workflows locally before pushing.
A reusable GitHub Action that uses AI to review pull requests with support for self-hosted or cloud models.
DevOps engineers setting up automated CI/CD pipelines., Open source maintainers looking to scale code review., Development teams wanting consistent code quality checks.
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
API keys for AI endpoints must be stored securely as GitHub secrets. Code diffs are sent to the AI provider; ensure compliance with data policies.
Similar or complementary options to evaluate include github-comment, aptu, Agent-CI.
Jun 7, 2026
3 security/trust notes recorded.
Setup difficulty is 3/5.