review

Dispatch four parallel agents to review code conformance, security, quality, and performance.

Updated Jan 23, 2026

Search Tags:#quality assurance #ci/cd #code review #security audit #automated testing #performance testing

Ready to run

npx skills add https://github.com/joshsymonds/gambit --skill review-joshsymonds

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: review
Source: https://github.com/joshsymonds/gambit/tree/main/skills/review
Command: npx skills add https://github.com/joshsymonds/gambit --skill review-joshsymonds

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides an automated, multi-faceted code review process to catch issues before they are merged, ensuring higher quality, security, and performance.

Core Features & Use Cases

Parallel Reviewers: Dispatches four specialized agents (conformance, security, quality, performance) simultaneously for comprehensive analysis.
Contextual Review: Adapts review criteria based on whether it's an epic-level or task-level review.
Mandatory Improvement Implementation: Ensures all identified improvements are addressed before proceeding.
Use Case: After completing a complex feature implementation, use this Skill to get a thorough, unbiased review from multiple AI perspectives, identifying potential bugs, security flaws, or performance bottlenecks.

Quick Start

Use the review skill to validate the recently completed implementation.

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 security and performance issues before merging?▼

Automated code review dispatches four specialized agents in parallel to assess conformance, security, quality, and performance, synthesizing findings and gating the merge process until all improvements are implemented.

What is the best way to perform a security audit and quality assurance check after feature implementation?▼

A parallel review process provides security audit and quality assurance by simultaneously analyzing code for vulnerabilities and quality flaws, ensuring mandatory improvements are addressed before proceeding to merge.

Can I use automated testing and performance testing for both epic-level and task-level code validation?▼

Yes, automated testing and performance testing adapt review criteria contextually based on whether the validation targets an epic-level feature implementation or a specific task-level debugging and refactoring effort.

How does parallel code review enforce implementation of suggested improvements?▼

Parallel code review enforces suggested improvements by synthesizing findings from its four specialized agents and acting as a mandatory gate, ensuring all identified conformance, security, quality, and performance fixes are implemented before merging.

Do I need a CI/CD pipeline setup to run automated code reviews?▼

No CI/CD pipeline setup is required as a dependency. The automated code review process operates independently by dispatching parallel agents to validate post-implementation code directly without external pipeline integrations.