reviewer

Enforce structured production-readiness reviews for code deliveries.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/UntaDotMy/codex_skills --skill reviewer-untadotmy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reviewer
Source: https://github.com/UntaDotMy/codex_skills/tree/main/reviewer
Command: npx skills add https://github.com/UntaDotMy/codex_skills --skill reviewer-untadotmy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Production-readiness reviews and quality gates to ensure code quality, security, architecture, testing, and delivery readiness.

Core Features & Use Cases

  • Structured diff-first reviews that surface risks early
  • Evidence-backed gates to block unsafe closures and track remediation
  • Specialist routing to accelerate remediation and release confidence

Quick Start

Validate a new PR by prompting for a production-readiness review against the changeset, memory state, and SYSTEM_MAP context.

Frequently Asked Questions about reviewer

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

FAQPage Schema
How do I enforce a production-readiness review for a pull request?

A production-readiness review validates PR changesets against memory state and SYSTEM_MAP context to gate code quality, security, and architecture before closure.

What is a diff-first code review and when do I need it?

Diff-first code review evaluates actual delivery changes to surface risks early, needed for PRs, multi-file changes, and release workflows to gate production readiness.

Can I use this quality gate for multi-file changes and cross-layer deployments?

Yes, this quality gate applies to multi-file changes, release workflows, and cross-layer deployments, ensuring risk visibility and traceable remediation guidance.

How does specialist routing work during a code review?

Specialist routing directs identified risks to appropriate experts, accelerating remediation and release confidence through structured governance routing and evidence-backed gates.

What is the best way to block unsafe PR closures and track remediation?

Use evidence-backed quality gates enforcing production-readiness reviews to block unsafe closures, providing traceable remediation guidance and routing issues to specialists.

What are the limitations of automated production-readiness checks for release workflows?

Automated production-readiness checks depend on provided memory state and SYSTEM_MAP context; incomplete context limits evidence-backed gate visibility and remediation traceability.