api-testing-suite

Automate REST API testing with Bruno, Schemathesis, Hypothesis, Spectral, and Locust.

6|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/kmshihab7878/claude-code-setup --skill api-testing-suite-kmshihab7878
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: api-testing-suite
Source: https://github.com/kmshihab7878/claude-code-setup/tree/main/skills/api-testing-suite
Command: npx skills add https://github.com/kmshihab7878/claude-code-setup --skill api-testing-suite-kmshihab7878

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

API development teams struggle to validate REST endpoints, enforce contracts, and catch edge-case bugs across APIs. This skill provides automated testing pipelines using Bruno, Schemathesis, Hypothesis, and OpenAPI validation to ensure API reliability.

Core Features & Use Cases

  • Contract-driven testing: Generates tests from OpenAPI specs to verify endpoints and compliance.
  • Property-based fuzzing: Uses Hypothesis to explore input space and surface failures.
  • OpenAPI validation & linting: Applies Schemathesis and Spectral to validate specs and runtime behavior.
  • Load testing & performance: Integrates Locust to simulate concurrent users and measure throughput.

Quick Start

Run the Schemathesis suite against your OpenAPI spec to validate all endpoints and behaviors.

Frequently Asked Questions about api-testing-suite

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

FAQPage Schema
How do I automate API testing for an OpenAPI spec end-to-end?

OpenAPI validation checks your API spec and runtime behavior using Schemathesis and Spectral. It ensures endpoints comply with the documented schema and catches contract violations or structural issues during API development.

How does property-based fuzzing work for REST APIs?

Load testing APIs with Locust simulates concurrent users hitting your REST endpoints to measure throughput. It integrates into the API testing pipeline to evaluate performance and ensure endpoints handle expected traffic volumes.

Do I need a Python environment to run Schemathesis and Hypothesis tests?

Yes, you need a Python environment to run Schemathesis and Hypothesis tests. The API testing pipeline requires Python along with OpenAPI specs to execute property-based fuzzing and contract validation workflows successfully.

What's the best way to validate OpenAPI specs and catch contract violations?

Validating OpenAPI specs is best done using Schemathesis and Spectral. Schemathesis verifies runtime behavior against the spec while Spectral lints the schema, together ensuring strict contract compliance and catching structural violations.