code-review

Name: code-review
Availability: InStock
Author: pedestal-ai

Analyze code diffs and files to detect bugs and structural issues.

Updated Aug 23, 2026

Search Tags:#static analysis #code review #pull request #programming #bug detection

Ready to run

npx skills add https://github.com/pedestal-ai/cylinder --skill code-review-pedestal-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/pedestal-ai/cylinder/tree/main/.agents/skills/code-review
Command: npx skills add https://github.com/pedestal-ai/cylinder --skill code-review-pedestal-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Streamlines the process of reviewing code changes and identifying bugs or structural issues, improving code quality and development speed.

Core Features & Use Cases

Automated Code Assessment: Analyzes diff and complete files to detect logic errors, style inconsistencies, and potential bugs.
Context-Aware Review: Reads full files being modified to understand existing patterns and determine appropriate feedback.
Use Case: When a developer submits a pull request, this skill can rapidly review the code, highlighting potential issues and suggesting improvements, saving time on manual review.

Quick Start

Use the code-review skill to analyze the latest pull request submitted to your repository.

Frequently Asked Questions about code-review

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

FAQPage Schema

How do I automate code review for a pull request?▼

Automated code review for a pull request is performed by analyzing diffs and complete files to detect logic errors, style inconsistencies, and potential bugs. The skill evaluates code changes and existing patterns to deliver actionable feedback for software engineering tasks.

What is context-aware code analysis?▼

Context-aware code analysis reads full files being modified to understand existing patterns and determine appropriate feedback. This mechanism ensures comprehensive evaluation of code changes by evaluating structural improvements and adherence to best practices within review workflows.

Can I use static analysis to find bugs in my code diff?▼

Static analysis finds bugs in code diffs by performing detailed analysis of the changes. It focuses on bug detection and structural improvements, rapidly highlighting potential issues and suggesting improvements to save time on manual review.

Does this code review skill work with full files or only diffs?▼

This code review skill works with both full files and diffs. It reads complete files being modified to understand existing patterns and analyzes diffs to detect logic errors, style inconsistencies, and potential bugs.

What is the best way to identify structural issues in code changes?▼

The best way to identify structural issues in code changes is using AI-driven feedback that evaluates adherence to best practices. This approach streamlines the process of reviewing code changes and identifying bugs or structural issues to improve code quality.

Why should I automate bug detection in pull requests?▼

Automating bug detection in pull requests improves code quality and development speed. It streamlines the process of reviewing code changes by rapidly highlighting potential issues and suggesting improvements, saving time on manual review.