Analyze code diffs, PR metadata, and CI status across multiple review dimensions.
npx skills add https://github.com/Borda/.home --skill review-borda
Please help me install this Agent Skill. Skill: review Source: https://github.com/Borda/.home/tree/main/.claude/skills/review Command: npx skills add https://github.com/Borda/.home --skill review-borda
This Skill automates the process of code review, ensuring code quality, security, and adherence to best practices across multiple dimensions.
Use the review skill to analyze the code changes in the current pull request.
High-intent search queries and answers about installing and using this skill.
Automated code review uses specialized AI agents to analyze code diffs, PR metadata, and CI status across architecture, tests, performance, and security. It generates a structured report with severity rankings and actionable feedback to speed up the development cycle before human review.
Multi-agent code review analyzes code diffs across architecture, tests, performance, documentation, linting, security, and API design. It evaluates PR metadata and CI status to identify architectural flaws and quality gaps, consolidating findings into a structured report with severity levels.
Yes, automated code review leverages specialized AI agents to check security and API design. It analyzes code diffs to identify vulnerabilities and design flaws, incorporating these dimensions into a comprehensive structured report with severity rankings and actionable feedback.
Running an automated multi-agent code review is the best way to identify architectural flaws before human review. By analyzing code diffs and PR metadata across multiple dimensions, it flags critical issues and generates a structured report with severity rankings to prepare for human review.
Yes, comprehensive automated code review works without external dependencies. It independently analyzes code diffs, PR metadata, and CI status using internal scripts and references to generate reports on security, performance, and architecture without requiring additional tools.
Automated code review accelerates development by using specialized agents to analyze architecture, tests, performance, and security simultaneously. It eliminates manual inspection bottlenecks by generating a structured report with severity rankings and actionable feedback before human review.
pacaplanPush a pull request, monitor CI status, and iteratively fix failures.
SJTU-IPADSReview codebases for security, naming, complexity, and documentation issues.
AsiaOstrichAssess project health, architecture, and risks in existing codebases.
broomvaOrchestrate multi-agent research workflows to synthesize citation-backed reports on companies, markets, and technologies.
