code-reviewer

Identify and fix code quality, security, and maintainability issues across codebases.

Updated Apr 27, 2026
One-click install
npx skills add https://github.com/Tnemo65/template --skill code-reviewer-tnemo65
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/Tnemo65/template/tree/main/.cursor/skills/11-system-design/code-reviewer
Command: npx skills add https://github.com/Tnemo65/template --skill code-reviewer-tnemo65

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps engineering teams perform comprehensive, standards-based code reviews to identify quality issues, security vulnerabilities, and optimization opportunities, ensuring reproducibility and adherence to best practices.

Core Features & Use Cases

  • Comprehensive code quality assessment across multiple languages and paradigms.
  • Security-focused review including input validation, dependency analysis, and vulnerability detection.
  • Actionable feedback with specific remediation steps and measurable improvement guidance.
  • Integration with CI/CD and collaboration tools to streamline audits and governance.

Quick Start

Submit a repository URL or patch to trigger a full code-review pass.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I perform a thorough code review for security and maintainability issues?

To perform a thorough code review, submit a repository URL or patch to trigger a full pass that identifies and fixes code quality, security vulnerabilities, and maintainability issues across multi-language projects. It provides traceable feedback and actionable remediation guidance.

What is the best way to automate code quality assessment in a CI workflow?

Automating code quality assessment in a CI workflow is achieved by integrating this review process to streamline audits and governance. It applies standards-based checks across codebases, generating measurable improvement guidance and traceable feedback for continuous integration pipelines.

Can I use automated code review for research prototype artifacts and production code?

Yes, you can use automated code review for both research prototype artifacts and production code. The process evaluates reproducibility-focused artifacts and production codebases, applying a thorough checklist to identify quality, security, and optimization opportunities across multiple languages.

How does a standards-based code review handle dependency analysis and vulnerability detection?

A standards-based code review handles dependency analysis and vulnerability detection by scanning submitted patches or repositories to identify security flaws. It provides specific remediation steps to fix input validation errors and resolve detected vulnerabilities with actionable guidance.

Does this code review process support multi-language projects and reproducibility-focused artifacts?

Yes, this code review process supports multi-language projects and reproducibility-focused artifacts. It performs comprehensive code quality assessment across various languages and paradigms, ensuring reproducibility and adherence to best practices for research prototypes and production environments.