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AndurilCode
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code-reviewer

Analyze pull requests and generate structured code review reports.

16|1|Updated Dec 23, 2025
Search Tags:#automation#typescript#security#python#static-analysis#code-review#pull-request
One-click install
npx skills add https://github.com/AndurilCode/mcp-apps-kit --skill code-reviewer-andurilcode
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/AndurilCode/mcp-apps-kit/tree/main/.claude/skills/code-reviewer
Command: npx skills add https://github.com/AndurilCode/mcp-apps-kit --skill code-reviewer-andurilcode

SYSTEM DOCUMENTATION & REQUIREMENTS

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

## What problem does it solve? This Skill provides automated, language-agnostic code review capabilities that analyze pull requests, enforce best practices, and generate actionable feedback to improve code quality and security across TypeScript, JavaScript, Python, and more.

## Core Features & Use Cases

  • Automated Pr Analyzer: Scans PRs for quality, style, and risk, producing a structured report.
  • Code Quality Checker: Runs static checks, detects issues, and suggests or applies fixes.
  • Review Report Generator: Generates consistent, shareable review reports for teams and stakeholders. Use Case: When you have a PR with multiple files and contributors, run the three core tools to obtain a comprehensive quality analysis and an exportable review summary.

### Quick Start Install and run the core scripts to begin automated reviews:

  • python scripts/pr_analyzer.py <project-path> [options]
  • python scripts/code_quality_checker.py <project-path> [options]
  • python scripts/review_report_generator.py <project-path> [options]

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I automate pull request code reviews for Python and TypeScript?▼

Automate pull request code reviews by running local Python scripts like pr_analyzer.py to scan PRs, check best practices and security considerations, and generate structured review reports for TypeScript and Python.

What is the best way to enforce code quality gates in a multi-language development workflow?▼

Enforce code quality gates by running code_quality_checker.py to perform static analysis, detect style issues across multiple languages, and automatically suggest fixes to standardize team-wide review processes.

Does this automated code review tool require external dependencies or cloud services?▼

This automated code review tool requires no external dependencies or cloud services, relying entirely on local Python scripts to perform static analysis and generate actionable feedback reports.

How do I generate shareable code review reports for stakeholders after analyzing a pull request?▼

Generate shareable code review reports by executing review_report_generator.py, which compiles the static analysis and security checks into a consistent, exportable summary for teams and stakeholders.

Can I run static security analysis and apply fixes directly within my existing software development workflow?▼

Yes, you can run static security analysis directly within your software development workflow by executing the local scripts against your project path to detect issues and suggest fixes during pull requests.

What are the limitations of using local Python scripts for automated code review?▼

Using local Python scripts for automated code review limits execution to local environments, meaning integration requires manual script execution rather than triggering automated checks directly from cloud-based pull request events.

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