api-test-automation

The API Test Automation skill is a robust, modular toolkit designed for developers and QA engineers to streamline the validation of complex backend services. By providing a unified interface for multiple testing methodologies, it eliminates the need to juggle disparate tools for functional verification and load testing. This agentic skill allows users to orchestrate end-to-end testing cycles directly within their development environment, significantly reducing the overhead associated with API lifecycle management. Whether you are building microservices in Python or integrating third-party APIs, this tool ensures compliance and performance before deployment.

• REST API functional testing using robust client libraries like requests and httpx.

• Native support for GraphQL query testing, enabling deep schema and data validation.

• Performance testing capabilities, including concurrency, response time analysis, and throughput measurement.

• Automated contract testing through OpenAPI/Swagger validation and schema enforcement.

• Integrated Mock server functionality for simulating dependent service behaviors during development.

• Professional test report generation using allure-pytest for detailed insights.

• Ensure Python 3.8+ environment is configured for compatibility with core libraries like pytest, schemathesis, and hypothesis.

• Ideal for use cases such as CI/CD pipeline integration, regression testing suites, and rapid prototyping of API interactions.

• Inputs typically include base URLs, GraphQL schemas, and test configuration files; outputs consist of status codes, performance metrics, and formatted HTML test reports.

• Constraints include reliance on local Python dependencies; ensure all required packages from requirements.txt are installed within your virtual environment for optimal execution.

• Utilize the provided src/ directory modules for programmatic access to rest_client, graphql_client, and performance utilities within larger agent workflows.