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code-reviewer

Analyzes pull requests and codebases to generate quality reports and review checklists.

Updated Mar 1, 2026
Search Tags:#code quality#typescript#static analysis#code review#pull request#python#review report
One-click install
npx skills add https://github.com/involvex/dev --skill code-reviewer-involvex
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/involvex/dev/tree/main/.claude/skills/code-reviewer
Command: npx skills add https://github.com/involvex/dev --skill code-reviewer-involvex

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? Manual code reviews are time-consuming and inconsistent, making it hard to enforce quality standards, catch security issues, and provide structured feedback across TypeScript, JavaScript, Python, Go, Swift, and Kotlin projects. ## Core Features & Use Cases - PR Analysis: Run scripts/pr_analyzer.py against a project path to analyze pull request changes and surface findings. - Code Quality Checking: Use scripts/code_quality_checker.py to validate a target path, run analysis, and produce structured reports with optional JSON output. - Review Report Generation: Generate review summaries with scripts/review_report_generator.py, supported by reference guides covering review checklists, coding standards, and common antipatterns. - Use Case: Before merging a pull request, run the quality checker on the repository, consult the code review checklist reference, and generate a report to share structured feedback with the team. ## Quick Start Ask the AI to review the code in your project directory and generate a code quality report with findings and recommendations.

Frequently Asked Questions about code-reviewer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review for a pull request?▼

Run the pr_analyzer.py script with the target project path to analyze pull request changes. It validates the path, performs analysis, and prints a report, with optional --json and --output flags for machine-readable results.

How to check code quality in a Python or TypeScript project?▼

Use the code_quality_checker.py script pointed at your project directory. It supports TypeScript, JavaScript, Python, Go, Swift, and Kotlin codebases, and pairs with the coding standards reference for applying fixes.

What languages does this code review skill support?▼

The skill covers TypeScript, JavaScript, Python, Go, Swift, and Kotlin. Its reference documentation also addresses frontend frameworks like React and Next.js plus backend stacks like Node.js, Express, and GraphQL.

Can I export code review results as JSON?▼

Yes, all three scripts accept a --json flag to output results as JSON and an --output flag to write them to a file. This makes it straightforward to integrate review findings into CI pipelines or other tooling.

What are the limitations of automated code review scripts?▼

The scripts provide scaffolding-level analysis and report structure rather than deep semantic inspection. For thorough reviews, combine script output with the reference checklists and manual examination of security and architecture decisions.

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