Does it support performance benchmarking?

It includes basic patterns for response time validation to ensure your API endpoints meet defined latency thresholds.

Does this skill support FastAPI testing?

Yes, it includes specific patterns for Python using httpx and pytest, which are the industry standards for testing FastAPI applications.

How does it handle authenticated routes?

The skill includes best practices for setup/teardown logic that handles login flows and attaches Bearer tokens to subsequent request headers.

Can I use this for GraphQL APIs?

Absolutely. The skill provides specialized templates for sending queries and mutations to GraphQL endpoints and validating the returned data structure.

What tools are needed for TypeScript testing?

The skill is optimized for use with Vitest or Jest combined with the Supertest library for HTTP assertions.

API Testing

Name: API Testing
Author: secondsky

bysecondsky

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安全与测试

Automates the creation and management of robust HTTP API tests for TypeScript and Python environments.

关于

The API Testing skill provides expert guidance and production-ready patterns for implementing comprehensive test suites using Supertest for TypeScript/JavaScript and httpx with pytest for Python. It streamlines the validation of REST and GraphQL services, covering essential scenarios such as authentication flows, request/response validation, file uploads, and error handling. By leveraging this skill, developers can quickly generate reliable integration tests that ensure backend stability, performance, and security across different tech stacks.

主要功能

Comprehensive authentication and authorization test flows
Python API testing using httpx and pytest-asyncio frameworks
Built-in error handling and status code verification templates
Pre-configured patterns for REST and GraphQL validation
Support for Supertest in TypeScript and JavaScript projects
21 GitHub stars

使用场景

Writing integration tests for Node.js, Express, or FastAPI backend services
Testing protected endpoints and validating JWT/Bearer token authentication
Validating GraphQL schemas and resolver responses with structured queries

关于

主要功能

Comprehensive authentication and authorization test flows
Python API testing using httpx and pytest-asyncio frameworks
Built-in error handling and status code verification templates
Pre-configured patterns for REST and GraphQL validation
Support for Supertest in TypeScript and JavaScript projects
21 GitHub stars

使用场景

Writing integration tests for Node.js, Express, or FastAPI backend services
Testing protected endpoints and validating JWT/Bearer token authentication
Validating GraphQL schemas and resolver responses with structured queries