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examples/code-reviewer

Analyze source code and output structured JSON issues with severity, line, message, and suggestion.

Updated Dec 30, 2025
Search Tags:#security#style#AI#bugs#static-analysis#code-review
One-click install
npx skills add https://github.com/while-basic/enact-template --skill examples-code-reviewer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: examples/code-reviewer
Source: https://github.com/while-basic/enact-template/tree/main/examples/code-reviewer
Command: npx skills add https://github.com/while-basic/enact-template --skill examples-code-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-powered reviews detect defects, style issues, and quality gaps in code, enabling faster, more reliable software delivery.

Core Features & Use Cases

  • Automated Bug Detection: Identify logical errors, edge cases, and potential crashes.
  • Style and Quality Checks: Enforce consistent naming, readability, and maintainability.
  • Security and Performance Review: Surface security risks and performance bottlenecks in code snippets or large codebases.
  • Use Case: Integrate with a pull request to auto-scan changes and generate a prioritized list of fixes with actionable suggestions.

Quick Start

Provide your code in the input and run the skill to receive a structured report with issues, a summary, and a quality score.

Frequently Asked Questions about examples/code-reviewer

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

FAQPage Schema
How do I run an AI code review to detect bugs and security issues in my source code?▼

To run an AI code review, provide your source code snippets or multi-file projects as input. The skill analyzes the code and outputs a structured JSON report containing identified bugs, security issues, severity levels, and actionable suggestions.

Can I use static analysis to check code style and performance across different programming languages?▼

Yes, you can use static analysis to check code style and performance across various programming languages. The skill applies to code review tasks universally, analyzing single-file snippets or large projects to surface style inconsistencies and performance bottlenecks.

What is the output format for automated code quality checks?▼

The output format for automated code quality checks is a structured JSON object. It includes a list of identified issues with their severity, line number, message, and suggestion, alongside a general summary and a quantitative quality score.

How do I integrate automated bug detection into a pull request workflow?▼

To integrate automated bug detection into a pull request, pass the changed code to the skill for analysis. It generates a prioritized list of fixes with actionable suggestions, enabling faster and more reliable software delivery during review.

Does AI-powered code review work on multi-file projects or only single-file snippets?▼

AI-powered code review works on both multi-file projects and single-file snippets. The skill analyzes source code across these scopes to identify defects, style issues, and quality gaps regardless of the input size.

What is the best way to identify security risks and logical errors in my codebase?▼

The best way to identify security risks and logical errors is using AI-powered static analysis. The skill surfaces security vulnerabilities, edge cases, and potential crashes, providing a quality score and specific suggestions for each issue found.

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