Review pull requests with a three-pass security, performance, and correctness checklist.
npx skills add https://github.com/buer2233/my_openclaw --skill code-review-buer2233
Please help me install this Agent Skill. Skill: code-review Source: https://github.com/buer2233/my_openclaw/tree/main/skills/code-review Command: npx skills add https://github.com/buer2233/my_openclaw --skill code-review-buer2233
Code reviews are often inconsistent, time-consuming, and prone to overlooking critical issues. This Skill provides a structured, multi-dimension checklist approach to accelerate high-quality PR reviews.
Review the latest pull request using the standard checklist and log the findings.
High-intent search queries and answers about installing and using this skill.
A structured code review applies a multi-dimension checklist across security, performance, correctness, and maintainability. This ensures consistent quality assessments for pull requests by enforcing a three-pass review process to surface issues early.
A code review checklist for security and performance should cover injections, authentication, secrets, and bottlenecks. It evaluates correctness, maintainability, testing, accessibility, and documentation to provide comprehensive, severity-guided feedback on code submissions.
Standardize pull request reviews by applying a documented checklist and a three-pass review framework. This enforces consistent guidance for security, performance, and maintainability, accelerating high-quality PR reviews and onboarding new reviewers.
Yes, a multi-dimension review framework is applicable to pull requests and merge requests across software projects. It operates independently of specific platforms, enabling teams to assess code quality and address gaps consistently across different PR systems.
The three-pass review process systematically evaluates code submissions by focusing on security, performance, correctness, maintainability, testing, accessibility, and documentation. It applies documented checklists and severity levels to identify and address quality gaps.
Assign severity levels to code review feedback by applying the framework's guidance on feedback quality and anti-patterns. This ensures severity-guided feedback accurately categorizes issues found in security, performance, and maintainability checklists.
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