code-review

Review Python and JavaScript code for security vulnerabilities and quality issues.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/hochoa13/Asistente-Harlest --skill code-review-hochoa13
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/hochoa13/Asistente-Harlest/tree/main/skills/software-development/code-review
Command: npx skills add https://github.com/hochoa13/Asistente-Harlest --skill code-review-hochoa13

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the need for consistent, thorough, and security-conscious code reviews, ensuring higher quality and more robust software.

Core Features & Use Cases

  • Security Auditing: Checks for common vulnerabilities like hardcoded secrets, input validation issues, and insecure data handling.
  • Quality Assurance: Enforces best practices for error handling, code structure, and maintainability.
  • Use Case: When a developer submits a pull request, this Skill can be used to provide a structured review checklist, flagging potential security risks and areas for code quality improvement before merging.

Quick Start

Use the code-review skill to review the attached code changes.

Frequently Asked Questions about code-review

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

FAQPage Schema
What security checks should I perform during a code review?

A thorough code review should check for hardcoded secrets, input validation issues, SQL injection, path traversal, authentication flaws, insecure error handling, and logging gaps to ensure software security and quality.

How do I structure feedback for a pull request code review?

To structure pull request code review feedback, use a consistent checklist format that flags potential security risks, highlights areas for code quality improvement, and addresses code structure and naming convention issues before merging.

Does this code review process cover both Python and JavaScript vulnerabilities?

Yes, the code review process highlights common vulnerable patterns specifically in Python and JavaScript, alongside general best practices for testing considerations, authentication, and data handling.

What is the best way to audit code quality and maintainability before merging?

The best way to audit code quality is to enforce best practices for error handling, evaluate code structure, verify naming conventions, and assess testing considerations using a structured review checklist.

Why do I need a structured checklist for auditing code changes?

You need a structured checklist for auditing code changes to ensure consistent, thorough, and security-conscious reviews that catch common vulnerabilities and enforce quality assurance standards across all pull requests.