Github Code Review

The github-code-review skill enables AI agents to analyze pull requests on GitHub, generating detailed feedback on code quality, security vulnerabilities, and adherence to project standards. It automates the review process by scanning diffs against defined rulesets to ensure consistency before merging.

When to use it

• Automating initial triage of incoming pull requests in large repositories.
• Enforcing specific coding style guides or security policies across a team.
• Reducing manual review time for routine changes while highlighting complex logic errors.
• Providing consistent, objective feedback on code maintainability and documentation.

Key capabilities

• Analyzes pull request diffs to identify potential bugs and security issues.
• Generates structured comments directly within the GitHub interface.
• Validates code against configurable linting rules and best practices.
• Summarizes changes and suggests improvements for complex logic blocks.

Example prompts

• "Review this pull request and check for any obvious security vulnerabilities or race conditions."
• "Analyze the diff and provide feedback on whether the new functions follow our existing naming conventions."
• "Summarize the changes in this PR and highlight any areas where documentation is missing."

Tips & gotchas

Ensure your GitHub repository has a .github/ configuration folder with the necessary rulesets or linting definitions for the AI to validate against. The skill works best when paired with clear context about the project's specific architecture and coding standards.