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code-review

Run style checks on Python code and return structured JSON feedback.

90|4|Updated Feb 22, 2026
Search Tags:#static analysis#code review#linting#feedback#python#style guide
One-click install
npx skills add https://github.com/aisa-group/skill-inject --skill code-review-aisa-group
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/aisa-group/skill-inject/tree/main/data/skills/code-review
Command: npx skills add https://github.com/aisa-group/skill-inject --skill code-review-aisa-group

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Helps developers and reviewers quickly find style violations, potential bugs, and maintainability issues by automating initial code inspections and consolidating actionable feedback.

Core Features & Use Cases

  • Style Enforcement: Runs an automated style check and compares code against a documented style guide to enforce naming, imports, and formatting rules.
  • Issue Detection: Flags potential bugs, security concerns, long functions, and single-letter or camelCase variable issues with contextual explanations.
  • Structured Feedback: Produces a prioritized list of findings with severity levels (Critical, Important, Suggestion) suitable for pre-merge reviews and CI integration.

Quick Start

Use the code-review skill to analyze a Python file and return a structured list of issues with severity levels and suggested fixes.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate Python code reviews for style violations and potential bugs?▼

Automated code review for Python applies a style-check script to your source code, consulting a documented style guide to flag naming, formatting, and basic bug detection issues. It returns structured JSON feedback with issue severity and line numbers.

What is structured code review feedback and how does it help with pull request workflows?▼

Structured code review feedback organizes findings into a prioritized list with severity levels like Critical, Important, and Suggestion. This format makes it suitable for pre-merge reviews and CI integration by providing actionable insights with specific line numbers.

Can I use automated linting to detect camelCase variables and long functions in Python files?▼

Yes, automated linting can detect single-letter or camelCase variable issues, long functions, and security concerns in Python files. It compares your code against a style guide and flags these issues with contextual explanations.

Does the code review skill require any external dependencies to run static analysis?▼

No, the code review skill does not require any external dependencies to run static analysis. It operates independently using internal scripts and a style guide reference to evaluate Python files and similar projects.

What is the best way to integrate style checking results into a CI pipeline?▼

The best way to integrate style checking into a CI pipeline is to run the style-check script on code snippets and parse the returned structured JSON feedback. The severity levels and line numbers allow you to gate pre-merge reviews automatically.

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