load-test

Generates performance and load tests for API throughput, thread safety, and rate limiting.

Updated Feb 13, 2026

Search Tags:#rate limiting #concurrency #load testing #api testing #performance testing #thread safety

Ready to run

npx skills add https://github.com/g-zenr/relay-api --skill load-test

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: load-test
Source: https://github.com/g-zenr/relay-api/tree/main/.claude/skills/load-test
Command: npx skills add https://github.com/g-zenr/relay-api --skill load-test

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the need to ensure the API's robustness and performance under various load conditions, preventing issues like race conditions, deadlocks, and slow response times.

Core Features & Use Cases

Performance Testing: Measure API throughput and latency.
Concurrency Validation: Ensure thread safety and prevent race conditions during simultaneous operations.
Rate Limiting Verification: Test the effectiveness of the API's rate limiting mechanisms.
Use Case: Before deploying a new feature, use this Skill to simulate high traffic and verify that the API remains responsive and stable, ensuring a smooth user experience.

Quick Start

Use the load-test skill to write performance and load tests for the API's state-changing endpoints.

Frequently Asked Questions about load-test

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

FAQPage Schema

How do I test API rate limiting and thread safety under concurrent load?▼

To test API rate limiting and thread safety, you simulate concurrent state-changing operations using high-resolution timers and thread pools to validate throughput and identify race conditions.

What is the best way to identify race conditions and deadlocks in an API?▼

Identifying race conditions and deadlocks requires generating load tests that simulate rapid, concurrent state-changing operations against your API to expose concurrency flaws and validate thread safety.

How do I measure API throughput and latency before deploying a new feature?▼

Measuring API throughput and latency involves running performance and load tests that utilize high-resolution timers to ensure response times remain within acceptable limits under simulated high traffic.

Can I validate API stability and performance without writing custom test scripts?▼

Validating API stability and performance can be achieved by using automated load test generation to simulate high traffic, verifying that the API remains responsive without manual test scripting.

Why does my API experience slow response times under high traffic conditions?▼

Slow API response times under high traffic often indicate performance bottlenecks that load testing can uncover by simulating concurrent users and measuring latency to ensure acceptable limits.