Review code changes and generate structured improvement recommendations.
npx skills add https://github.com/sofer/.agents --skill code-review-sofer
Please help me install this Agent Skill. Skill: code-review Source: https://github.com/sofer/.agents/tree/main/skills/code-review Command: npx skills add https://github.com/sofer/.agents --skill code-review-sofer
Code reviews are essential to ensure quality, security, and maintainability, but without a standardized process they can be inconsistent and error-prone. This skill provides a structured, repeatable review workflow that can be used standalone or integrated into a pipeline to gate changes before they merge.
Invoke the code-review skill on a pull request or commit range to generate a structured review summary and recommendations.
High-intent search queries and answers about installing and using this skill.
Automating code review involves identifying the scope of code changes and collecting impacted files to generate structured feedback. It synthesizes commit messages and diff content to produce recommendations and testing guidance aligned with project standards.
Scope-aware code review identifies impacted files and relevant changes to deliver focused critique. It determines intent and potential risks by synthesizing commit messages, diff content, and surrounding code to verify alignment with design and security guidelines.
Yes, you can use an automated code review pipeline to gate changes before they merge. This provides a standardized, repeatable review workflow that generates actionable recommendations and testing considerations to ensure code quality and security.
Yes, automated code review checks for security and coding standards. It verifies alignment with design, coding standards, and security guidelines by analyzing diff content and surrounding code to identify potential risks and suggest improvements.
To get structured feedback on code changes, run an automated review on a commit range to generate a structured output. This output details the changes, suggested improvements, and testing considerations based on synthesized diff content and project standards.
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