What kind of report does the PR Analyzer generate?

It produces a structured Markdown report containing a summary, quality scores (1-10), detailed strengths/concerns, and a clear merge recommendation status.

Does it support performance optimization?

The analyzer checks for common performance issues such as N+1 queries, inefficient algorithms, and unnecessary database calls to prevent performance regressions.

Can this skill identify security vulnerabilities?

Yes, it specifically scans for critical security red flags including plain-text secrets, SQL injection risks, XSS vulnerabilities, and improper input validation.

How does the PR Analyzer interact with GitHub?

It utilizes the GitHub CLI (gh) to fetch PR details, diffs, commit history, and CI status checks directly within the Claude Code environment.

Can I use this to enforce PR size guidelines?

Yes, the skill includes logic to categorize PRs by size (Small, Medium, Large) and provides warnings for massive PRs that may be difficult to review thoroughly.

PR Quality Analyzer

Name: PR Quality Analyzer
Author: a-ariff

bya-ariff

Seguridad y Pruebas

Automates the assessment of pull requests to ensure code quality, security compliance, and architectural integrity before merging.

Acerca de

PR Quality Analyzer is a comprehensive Claude Code skill designed to streamline the code review process. It leverages specialized logic to evaluate pull request scope, verify test coverage, identify potential security vulnerabilities, and detect performance bottlenecks. By generating detailed, structured reports and actionable recommendations, it helps development teams maintain high standards, prevent regressions, and accelerate the merge cycle while ensuring all documentation and quality gates are met.

Características Principales

Detection of performance bottlenecks and N+1 query patterns
0 GitHub stars
Automated GitHub CLI integration for PR metadata and diff analysis
Comprehensive security vulnerability and risk assessment
Detailed quality reporting with structured scoring and checklists
Verification of test coverage and documentation updates

Casos de Uso

Automating the initial security and quality audit for high-volume repositories
Standardizing code review feedback and reporting across distributed engineering teams
Performing pre-review self-checks to ensure PRs meet team standards before submission

Acerca de

Características Principales

Detection of performance bottlenecks and N+1 query patterns
0 GitHub stars
Automated GitHub CLI integration for PR metadata and diff analysis
Comprehensive security vulnerability and risk assessment
Detailed quality reporting with structured scoring and checklists
Verification of test coverage and documentation updates

Casos de Uso

Automating the initial security and quality audit for high-volume repositories
Standardizing code review feedback and reporting across distributed engineering teams
Performing pre-review self-checks to ensure PRs meet team standards before submission