Is this skill useful for API testing?

Absolutely, it is highly effective at simulating concurrent users for REST and GraphQL endpoints to validate backend response times.

Which load testing tools does this skill support?

The skill generates specialized scripts for popular industry tools including k6, JMeter, and Artillery.

How do I integrate this into my workflow?

The skill provides ready-to-use scripts and execution instructions that can be run locally or integrated directly into your CI/CD pipelines.

Can it identify specific application breaking points?

Yes, it can design specific stress and spike test scenarios intended to push your infrastructure to its limits and identify exactly where it fails.

Load Test Runner

Name: Load Test Runner
Author: BbgnsurfTech

byBbgnsurfTech

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安全与测试

Generates and executes comprehensive load test scripts to validate application performance and identify system breaking points.

关于

This skill empowers Claude to automate the performance validation process by analyzing application endpoints and generating industry-standard scripts for tools like k6, JMeter, and Artillery. It simplifies the identification of bottlenecks through various testing scenarios—including stress, spike, and soak tests—while establishing clear performance thresholds to ensure applications can handle real-world traffic demands before deployment.

主要功能

3 GitHub stars
Scenario analysis for stress, spike, soak, and baseline testing
Definition of custom performance thresholds and success criteria
Detailed execution instructions for performance validation
Automated script generation for k6, JMeter, and Artillery
Identification of application performance bottlenecks and breaking points

使用场景

Validating application performance stability after a major code deployment
Establishing baseline performance metrics for a new web service
Simulating high-concurrency traffic to find the breaking point of a REST API

关于

主要功能

3 GitHub stars
Scenario analysis for stress, spike, soak, and baseline testing
Definition of custom performance thresholds and success criteria
Detailed execution instructions for performance validation
Automated script generation for k6, JMeter, and Artillery
Identification of application performance bottlenecks and breaking points

使用场景

Validating application performance stability after a major code deployment
Establishing baseline performance metrics for a new web service
Simulating high-concurrency traffic to find the breaking point of a REST API