Can I integrate these tests into my CI/CD pipeline?

Yes, the skill includes pre-defined patterns for GitHub Actions that can fail builds if performance thresholds, such as p95 latency or error rates, are exceeded.

What is the difference between a stress test and a soak test in this skill?

A stress test ramps up traffic to find your system's breaking point, while a soak test maintains a steady load over a long period (e.g., 4 hours) to identify memory leaks or resource exhaustion.

Does it support custom performance metrics?

Absolutely. The skill includes patterns for Trend, Counter, and Rate metrics in k6, as well as task-based weighting in Locust to simulate complex user behavior.

Which tools does this performance testing skill support?

This skill provides comprehensive support for k6 (using JavaScript) and Locust (using Python), allowing you to choose the tool that best fits your stack.

Performance Testing

Name: Performance Testing
Author: yonatangross

byyonatangross

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安全与测试

Validates system performance and identifies architectural bottlenecks using industry-standard load and stress testing patterns.

关于

The Performance Testing skill provides production-ready templates and configurations for k6 and Locust, enabling developers to simulate realistic traffic patterns and validate system behavior under pressure. It streamlines the creation of load, stress, spike, and soak tests, ensuring applications meet performance benchmarks like p95 latency and error rate thresholds. By providing structured patterns for both JavaScript and Python environments, it helps teams identify potential memory leaks and scaling limitations before they impact production users.

主要功能

Custom metric tracking for response times, success rates, and throughput
Automated performance thresholds for p95 latency and error rates
CI/CD integration patterns for automated performance regression testing
Multi-tool support for k6 (JavaScript) and Locust (Python)
27 GitHub stars
Pre-configured test profiles for Load, Stress, Spike, and Soak testing

使用场景

Benchmarking API performance before a major production release
Detecting memory leaks in long-running services through soak testing
Stress testing infrastructure to determine maximum concurrent user capacity

关于

主要功能

Custom metric tracking for response times, success rates, and throughput
Automated performance thresholds for p95 latency and error rates
CI/CD integration patterns for automated performance regression testing
Multi-tool support for k6 (JavaScript) and Locust (Python)
27 GitHub stars
Pre-configured test profiles for Load, Stress, Spike, and Soak testing

使用场景

Benchmarking API performance before a major production release
Detecting memory leaks in long-running services through soak testing
Stress testing infrastructure to determine maximum concurrent user capacity