gaia-review-test

Automate test quality review and flakiness identification in automated tests.

2|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/gaiastudio-ai/gaia-framework --skill gaia-review-test
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gaia-review-test
Source: https://github.com/gaiastudio-ai/gaia-framework/tree/main/plugins/gaia/skills/gaia-test-review
Command: npx skills add https://github.com/gaiastudio-ai/gaia-framework --skill gaia-review-test

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the review of test quality and identifies flakiness in automated tests, enabling efficient and thorough code reviews.

Core Features & Use Cases

  • Test Quality Review: Automates the semantic review of test quality using an LLM.
  • Flakiness Identification: Identifies tests that may be flaky or contain other quality issues.
  • Use Case: When reviewing a story, use this Skill to automatically analyze the associated tests for quality and flakiness, providing feedback to the developers to ensure high-quality test coverage.

Quick Start

To review test quality for the story with key 'story-key', use the command: /gaia-review-test story-key

Frequently Asked Questions about gaia-review-test

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

FAQPage Schema
How do I automate test quality review for continuous integration workflows?

Automating test quality review in continuous integration requires semantic analysis of test artifacts to evaluate code logic and identify potential quality issues. This enables automated feedback during code reviews to maintain high test coverage standards.

What is flakiness detection in test automation and how does it work?

Flakiness detection in test automation analyzes test artifacts and applies semantic reasoning to test code to identify inconsistent tests. It flags tests exhibiting unpredictable pass or fail behaviors, ensuring reliable automated testing outcomes.

Can I review test quality for a specific story or issue ticket?

Yes, you can review test quality for a specific story by passing the story key to the review command. The system then analyzes the tests associated with that story key, providing targeted developer feedback on flakiness and quality.

Does automated test review work without external dependencies?

Yes, automated test review operates without external dependencies, relying entirely on its internal scripts and semantic reasoning capabilities to analyze test artifacts and detect flakiness or quality issues within your software engineering environment.

What is the best way to identify flaky tests during code review?

The best way to identify flaky tests during code review is integrating an automated semantic analysis tool into your workflow. This approach evaluates test artifacts automatically, pinpointing flakiness and quality issues for developer feedback.