skills.rest
uniQuk
uniQukCOMMUNITY
Explore all skills by this author →
GitHub

review

Review code changes for correctness, security, and quality issues.

Updated Apr 21, 2026
Search Tags:#automation#llm#review#pr#code#quality-assurance#inline-comments
One-click install
npx skills add https://github.com/uniQuk/Claudex-cli --skill review-uniquk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/uniQuk/Claudex-cli/tree/main/packages/core/src/skills/bundled/review
Command: npx skills add https://github.com/uniQuk/Claudex-cli --skill review-uniquk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reviews changed code for correctness, security, code quality, and performance, automating a thorough, repeatable process.

Core Features & Use Cases

  • Multi-agent code review across correctness, security, quality, and performance
  • Inline comment posting via Create Review API and optional lightweight cross-repo mode
  • Deterministic analysis with linter/build/test steps and incremental diff handling
  • Works for PRs, file paths, or any code change requests

Quick Start

Invoke /review <pr-number> or /review <file-path> to start an automated, AI-assisted code review.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate an AI code review for a pull request?▼

Automate an AI code review for a pull request by invoking /review with a PR number, triggering a multi-agent pipeline that analyzes correctness, security, and quality before posting inline comments.

What is a multi-agent code review pipeline?▼

A multi-agent code review pipeline uses specialized agents to evaluate code changes across correctness, security, quality, and performance dimensions, providing deterministic analysis with optional build and test validation steps.

Can I run automated code reviews on local file changes instead of a PR?▼

Yes, you can run automated code reviews on local file changes by invoking /review with a specific file path, allowing the AI to analyze incremental diffs and report issues directly on local code changes.

Does the AI code review support posting inline comments on pull requests?▼

Yes, the AI code review supports posting inline comments on pull requests via standard Create Review APIs, ensuring that identified issues in the code changes are reported directly on the relevant lines.

How do I load project-specific rules into an automated code review?▼

You can load project-specific rules into the automated code review by configuring them in CI configs or native rule files, which the review pipeline reads to enforce custom quality and security standards.

Can I use this for cross-repo code reviews?▼

Yes, you can use this for cross-repo code reviews through an optional lightweight mode that operates across multiple repositories to identify issues in broader code changes.

Related Skills

Explore More Software Engineering Skills→
bkelly-labbkelly-lab
50

review-code

Review changed Python files against project conventions and report deviations.

Official
Intermediate
kaminocorpkaminocorp
228

github-code-review

Analyze git diffs and post inline comments on pull requests.

Official
Advanced
ngxtmngxtm

Dart Tooling & CI

Enforce Dart linting, formatting, and CI pipeline checks.

Community
Intermediate
DarkArty07DarkArty07
3

github-code-review

Automate GitHub pull request code reviews with inline comments and scoring checklists.

Community
Intermediate