Review code across nine dimensions with severity-rated findings.
npx skills add https://github.com/changjian-wang/dawning --skill code-review-changjian-wang
Please help me install this Agent Skill. Skill: code-review Source: https://github.com/changjian-wang/dawning/tree/main/.github/skills/code-review Command: npx skills add https://github.com/changjian-wang/dawning --skill code-review-changjian-wang
This Skill systematically reviews code to identify and rectify issues across critical areas like style, security, performance, and testing, ensuring higher code quality and maintainability.
Use the code-review skill to analyze the attached code changes for adherence to project standards.
High-intent search queries and answers about installing and using this skill.
Multi-dimensional code review evaluates code changes across 9 distinct dimensions including style, security, performance, and testing. It analyzes provided files to identify bugs and vulnerabilities early, ensuring adherence to best practices and higher maintainability before integration.
Static analysis for coding standards automatically checks source code against predefined rules without executing it. This process identifies areas for improvement by evaluating dependency injection, object mapping, and API design to ensure quality assurance and structural compliance.
Checking database schema and API design against best practices involves analyzing code structure for optimal patterns. The review assesses database practices and API endpoints, providing actionable recommendations with severity ratings to rectify potential architectural bottlenecks.
Yes, structured feedback for security practices and error handling categorizes findings into compliant, suggestions for improvement, and must modify. It includes severity ratings and actionable recommendations to address vulnerabilities and optimize error handling strategies effectively.
Evaluating unit testing coverage and performance optimizations is best handled through automated multi-dimensional analysis. It reviews code changes specifically for testing gaps and performance bottlenecks, delivering detailed findings to ensure software reliability and speed.
Yes, automated code review works without external dependencies. It functions independently to analyze provided code files or changes, evaluating them against 9 critical dimensions to deliver self-contained quality assurance and improvement recommendations.
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