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Automated Test Case Generation

Generate API test cases from OpenAPI specs and source code.

3|Updated May 3, 2026
Search Tags:#integration testing#pytest#openapi#llm#api testing#httpx#test-case-generation
One-click install
npx skills add https://github.com/ductoanoxo/Agent_SQL --skill automated-test-case-generation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Automated Test Case Generation
Source: https://github.com/ductoanoxo/Agent_SQL/tree/main/.agents/skills/testing/test-case-generation
Command: npx skills add https://github.com/ductoanoxo/Agent_SQL --skill automated-test-case-generation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates the manual effort of designing thorough API test cases by using AI to derive Happy paths, Edge cases, and Negative cases from API specs and source code.

Core Features & Use Cases

  • AI-driven test case generation: Produces structured Test Cases that cover correctness and validation behavior for specific endpoints.
  • Integration-ready output formats: Supports saving results as Markdown tables or JSON for downstream automation workflows.
  • Bridging to automated testing: Guides turning generated Test Cases into runnable pytest + httpx integration scripts, optionally using property-based tests with Hypothesis to explore input boundaries.

Quick Start

Ask an AI agent to generate API Test Cases for a specific endpoint (using your OpenAPI/Swagger spec and relevant controller/model files) and save them to the skill’s expected output location as test_cases.json.

Frequently Asked Questions about Automated Test Case Generation

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

FAQPage Schema
How do I generate API test cases from an OpenAPI spec automatically?▼

Yes, OpenAPI test case generation analyzes endpoints and validation rules to produce happy paths, edge cases, and negative cases. It outputs structured Markdown or JSON files that guide the creation of pytest and httpx integration test scripts.

How do I turn generated API test cases into runnable pytest scripts?▼

Generated test cases saved as JSON or Markdown are structured for conversion into runnable pytest and httpx integration scripts. The cases provide inputs, expected outputs, and validation rules needed to scaffold the automated tests.

Does AI-driven test case generation work with property-based testing?▼

Yes, generated API test cases can be extended with property-based testing using Hypothesis. The structured test cases serve as a foundation that Hypothesis uses to automatically explore input boundaries and edge cases more thoroughly.

What do I need to provide to generate API integration test cases?▼

You need to provide an OpenAPI or Swagger spec and relevant source code files, such as controllers and models. The generation process analyzes these inputs to derive test cases covering correctness and validation behavior for specific API endpoints.

What is the best way to cover edge cases and negative cases for API testing?▼

Using AI to derive edge cases and negative cases from API specs and source code is an effective method. By analyzing validation rules and request schemas, it automatically generates boundary and negative test cases alongside happy paths.

Can I save generated test cases as JSON for downstream automation workflows?▼

Yes, generated API test cases can be saved as JSON files in the output directory. This structured format allows downstream automation workflows to pick up the test cases and convert them into executable pytest scripts.

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