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redpanda-data
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review

Automate code review with quality checks, security scanning, and performance analysis.

34|4|Updated Apr 20, 2026
Search Tags:#quality assurance#code review#pull request#Git#automated testing
One-click install
npx skills add https://github.com/redpanda-data/ui-harness --skill review-redpanda-data
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/redpanda-data/ui-harness/tree/main/review
Command: npx skills add https://github.com/redpanda-data/ui-harness --skill review-redpanda-data

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the code review process, ensuring high-quality code by automating checks and providing actionable feedback.

Core Features & Use Cases

  • Automated Code Quality Checks: Identifies issues such as bugs, performance bottlenecks, and security vulnerabilities.
  • Parallel Review Hats: Utilizes multiple review mechanisms to cover all aspects of code quality.
  • PR Value Gate: Evaluates the value of the pull request and provides a gate to block low-value changes.
  • Detailed Reporting: Generates comprehensive reports with findings and suggestions for improvement.

Quick Start

Run the review skill on your branch to get a detailed code review report.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate code review for pull requests in a Git workflow?▼

Automated code review for pull requests streamlines your Git workflow by running quality checks, security scanning, and performance analysis on branches. It utilizes parallel review mechanisms to identify bugs and generates a structured report with actionable feedback.

What is the best way to run security scanning and quality checks on a new branch?▼

Running security scanning and quality checks on a branch evaluates code for vulnerabilities and performance bottlenecks. This automated process uses multiple parallel review mechanisms to provide comprehensive findings and suggestions for improvement before merging.

Can I block low-value pull requests from being merged automatically?▼

Yes, you can block low-value pull requests by implementing a PR value gate. This evaluates the value of changes within your Git workflow and provides a gate to prevent low-value modifications from being merged, ensuring high-quality code.

How does parallel review improve automated quality assurance for code?▼

Parallel review improves automated quality assurance by utilizing multiple review mechanisms simultaneously. This approach covers all aspects of code quality, including bug detection and performance analysis, generating a detailed report with structured findings.

Does automated code review work with standard Git-based development workflows?▼

Automated code review operates within standard Git-based workflows to provide feedback on pull requests and branches. It requires no external dependencies, running scripts and references to execute quality checks, security scanning, and performance analysis directly on your code.

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