test-review

Generate a structured findings report from codebase diffs across coverage, quality, and design alignment.

1|Updated Sep 8, 2023
One-click install
npx skills add https://github.com/cmb-sy/dotfiles --skill test-review-cmb-sy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: test-review
Source: https://github.com/cmb-sy/dotfiles/tree/main/claude/skills/test-review
Command: npx skills add https://github.com/cmb-sy/dotfiles --skill test-review-cmb-sy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

End-to-end test-review orchestration provides a comprehensive workflow to systematically review test code across coverage, quality, and design alignment, consolidating issues into a unified report to guide fixes.

Core Features & Use Cases

  • Phase 1: Scope detection to identify changes and determine review scope.
  • Phase 2: Parallel reviews across three perspectives (coverage, quality, design alignment); optional Codex review if enabled.
  • Phase 3: Integrated findings report with a requirement map and per-finding guidance.
  • Phase 3.5: Meta review by Codex (optional) to surface overarching risks and enhancements.
  • Phase 4-5: User-driven selection of findings, fixes, and verification steps with trace logging.

Quick Start

Start the Test Review workflow to scan changes, run parallel reviews, and generate the consolidated findings report.

Frequently Asked Questions about test-review

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

FAQPage Schema
How do I automate code review for test changes across multiple languages?

Automated test review identifies codebase changes via diff analysis and runs parallel agent reviews across coverage, quality, and design alignment for JavaScript, Python, and Go suites.

What is the best way to generate a structured findings report for test coverage gaps?

Generating a structured findings report involves parsing diffs, running parallel reviews, and aggregating results into a prioritized report that maps requirements and provides per-finding guidance.

Can I run parallel test reviews for coverage, quality, and design alignment?

Yes, parallel test reviews run across three perspectives: coverage, quality, and design alignment, with an optional Codex meta-review to surface overarching risks and enhancements.

Does test review support JavaScript, Python, and Go test suites?

Yes, the test review workflow supports JavaScript, Python, Go, and other typical test suites by parsing diffs and applying parallel agent reviews to generate a consolidated findings report.

How do I fix and re-verify test code issues identified during a review?

Fixing and re-verifying test code issues follows a user-driven selection process where you choose findings, apply safe fix proposals, and execute verification steps with trace logging.