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code-review-assistant

Analyze code commits and pull requests for bugs, vulnerabilities, and performance issues.

38|8|Updated Mar 28, 2026
Search Tags:#code review#code analysis#performance optimization#security scanning#bug detection
One-click install
npx skills add https://github.com/yun520-1/mark-heartflow-skill --skill code-review-assistant-yun520-1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review-assistant
Source: https://github.com/yun520-1/mark-heartflow-skill/tree/main/skills/cody
Command: npx skills add https://github.com/yun520-1/mark-heartflow-skill --skill code-review-assistant-yun520-1

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of code reviews, saving time and reducing the potential for human error in identifying issues such as bugs, security vulnerabilities, and performance bottlenecks.

Core Features & Use Cases

  • Automated Code Analysis: Analyze code for common issues like bugs, security vulnerabilities, and performance bottlenecks.
  • Customizable Severity Levels: Configure the strictness of the review to balance thoroughness with speed.
  • Multi-language Support: Support for Python, JavaScript, Java, Go, Rust, and more.
  • Integration with PR/Code Diffs: Review code changes from GitHub/GitLab pull requests or local Git diffs.
  • Output Formats: Generate structured reports in Markdown, JSON, or HTML.
  • Use Case: For a developer who wants to ensure that their code is reviewed thoroughly before merging into a main branch or repository.

Quick Start

Review the code changes in the current branch with the 'code-review-assistant' skill.

Frequently Asked Questions about code-review-assistant

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

FAQPage Schema
How do I automate code analysis for pull requests in multiple programming languages?▼

Automated code analysis for pull requests supports Python, JavaScript, Java, Go, and Rust. It identifies bugs, security vulnerabilities, and performance bottlenecks by analyzing code commits, generating structured reports for integration into your workflow.

Can I integrate automated code review into CI/CD pipelines with Markdown or JSON output?▼

Automated code review integrates into CI/CD pipelines by generating structured reports in Markdown, JSON, or HTML formats. This allows continuous deployment systems to consume code analysis results and block merges based on detected issues.

How do I review local Git diffs for security vulnerabilities and performance bottlenecks?▼

Reviewing local Git diffs detects security vulnerabilities and performance bottlenecks by analyzing code changes before merging. The process evaluates code commits against configurable severity levels to balance thoroughness with review speed.

Does automated code review support analyzing GitHub and GitLab pull request diffs?▼

Automated code review supports analyzing pull request diffs from GitHub and GitLab. It processes code changes directly from these platforms to identify bugs and security vulnerabilities before code reaches the main branch.

How do I configure the strictness of an automated code review to balance thoroughness and speed?▼

Configure automated code review strictness using customizable severity levels. This mechanism adjusts the analysis depth to balance thorough issue detection with processing speed, ensuring code quality checks match your project requirements.

Why use automated code analysis instead of manual reviews for finding bugs in Python and JavaScript?▼

Automated code analysis saves time and reduces human error in finding bugs, security vulnerabilities, and performance bottlenecks across Python and JavaScript. It scales code quality checks by consistently reviewing diffs before main branch integration.

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