gaia-test-perf

Execute k6 and Lighthouse performance tests against SLOs and baselines.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires k6, lighthouse, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the execution of performance tests for deployed applications, saving time and reducing the complexity of deployment processes.

Core Features & Use Cases

  • Performance Testing: Execute performance tests using k6 and Lighthouse tools.
  • SLO and Baseline Checks: Evaluate performance against Service Level Objectives (SLOs) and compare against baseline metrics.
  • LLM Judgment: Utilize AI for performance quality semantic judgment in Phase 3B.
  • Use Case: After deploying an application, use this Skill to automatically run performance tests, compare the results with predefined SLOs, and receive a verdict based on AI analysis.

Quick Start

Run performance tests for the deployment with the 'run perf tests' command or /gaia-test-perf.

Frequently Asked Questions about gaia-test-perf

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

FAQPage Schema
How do I automate performance testing after application deployment?

You can automate performance testing for application deployments by executing k6 and Lighthouse tests, automatically comparing results against predefined SLOs and baselines, and utilizing AI for semantic quality judgment.

What is SLO compliance checking in performance testing workflows?

SLO compliance checking evaluates performance test results against predefined Service Level Objectives and baseline metrics to automatically validate deployment quality and ensure application performance standards are met.

Do I need k6 and Lighthouse installed to run automated performance tests?

Yes, you need k6 and Lighthouse configured in your environment, as this Skill relies on these specific tools to execute performance tests, measure metrics, and validate deployment quality.

How does AI analysis evaluate performance test results against baselines?

AI analysis evaluates performance test results by applying semantic judgment to compare the collected metrics against your predefined SLOs and historical baselines, delivering a final quality verdict.

Can I run performance tests automatically as part of my deployment workflow?

Yes, you can trigger automated performance tests within your deployment workflows by running the 'run perf tests' command to validate SLO compliance and application performance.