GitHub PR Review Automation
Configure your OpenClaw agent to monitor your GitHub repos, review every pull request for code quality, and post detailed review comments, all without manual effort.
What You Will Get
By the end of this walkthrough, your OpenClaw agent will automatically review every pull request opened against your chosen repositories. It will check for code style violations, potential bugs, security concerns, and adherence to your team's conventions. Each review is posted directly as GitHub comments with inline suggestions.
This means no PR slips through without at least one pass of quality review. Your team spends less time on boilerplate feedback like naming conventions and formatting, and more time on architectural discussions and logic review. The agent handles the tedious first pass so human reviewers can focus on what matters.
The agent posts its reviews within minutes of a PR being opened or updated. You can customize the review criteria, set severity levels, and choose which file types or directories get the most scrutiny.
How to Set It Up
Follow these steps to get automated PR reviews running
Connect Your GitHub Account
Open your OpenClaw dashboard and navigate to the Connections tab. Select GitHub from the available integrations and authorize access to the repositories you want monitored. Grant the agent permission to read pull requests and post review comments. You can scope access to specific repos or give it organization-wide access.
Install the GitHub PR Review Skill
Go to the Skills section of your agent and search for the gh-pr-review skill. Install it and confirm it appears in your active skills list. This skill gives your agent the ability to understand PR diffs, compare changes against your codebase, and format review comments as proper GitHub review threads.
Configure Review Triggers
In your agent's settings, set up a webhook trigger for pull_request events. Choose whether the agent should review on PR open, on every push to the PR branch, or both. You can also filter by base branch so that only PRs targeting main or develop get reviewed automatically.
Define Review Criteria
Tell your agent what to look for in reviews. You can provide a prompt that includes your team's coding standards, naming conventions, and common pitfalls. For example, instruct it to flag any function longer than 50 lines, catch missing error handling, and verify that new endpoints have corresponding tests. The more specific your prompt, the more useful the reviews.
Set Up Comment Formatting
Configure how the agent posts its feedback. You can choose between a single summary comment or inline comments on specific lines. Set severity levels like suggestion, warning, and blocker so your team knows which items are mandatory fixes versus nice-to-haves. Enable the option to request changes on blockers so the PR cannot be merged without addressing them.
Test with a Sample PR
Open a test pull request on one of your connected repos. Push a small change that includes a few intentional issues, like a missing null check or a poorly named variable. Watch your agent pick up the PR, analyze the diff, and post its review. Verify the comments are accurate and formatted correctly.
Fine-Tune and Roll Out
Based on the test results, adjust your review criteria and severity thresholds. If the agent is too noisy, narrow the scope. If it misses things you care about, add those patterns to the prompt. Once you are satisfied, enable the automation across all target repositories and inform your team about the new automated reviewer.
Tips and Best Practices
Start with a Narrow Scope
Begin by monitoring one or two repositories. Review the agent's output for a week before expanding. This lets you calibrate the review criteria without overwhelming your team with notifications.
Combine with Branch Protection Rules
Set up GitHub branch protection to require the agent's review before merging. This ensures every PR gets at least one automated quality check, even when human reviewers are unavailable.
Use Severity Levels Consistently
Define clear meanings for each severity level and document them for your team. When everyone understands that a blocker must be fixed while a suggestion is optional, the review process stays smooth and predictable.
Keep Review Criteria Updated
As your codebase evolves, update the review prompt to reflect new conventions, deprecated patterns, and lessons learned from past incidents. Schedule a monthly review of the agent's criteria to keep it relevant.
Real-World Scenarios
Weekend Deployments
A developer pushes a PR on Saturday morning. No human reviewers are online, but the agent reviews it within two minutes, catching a missing database index and suggesting a performance improvement. The developer fixes both issues before Monday's standup.
Large Team Consistency
A team of 15 developers follows a style guide, but enforcement has been inconsistent. After enabling automated reviews, every PR gets the same baseline check. Within a month, style violations drop by 80% because developers fix issues before the agent even sees them.
Security-First Review
The agent is configured to prioritize security patterns. It catches a hardcoded secret in a config file, flags an unvalidated user input in an API endpoint, and identifies a dependency with a known vulnerability, all in the same PR review.
Frequently Asked Questions
Related Pages
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