Api Testing

What it does

This skill enables AI agents to perform automated testing on Application Programming Interfaces (APIs). It validates endpoint functionality, checks response formats, and ensures data integrity across various network services.

When to use it

• Verifying that new API endpoints return expected status codes and data structures before deployment.
• Running regression tests to ensure recent code changes haven't broken existing integrations.
• Simulating user interactions with backend services to identify latency or failure points.
• Validating authentication tokens and permission levels across different API scopes.

Key capabilities

• Automated execution of test cases against live or mock API endpoints.
• Detailed reporting on request parameters, response bodies, and error logs.
• Validation of data schemas and JSON payloads returned by services.
• Support for various HTTP methods (GET, POST, PUT, DELETE) in testing workflows.

Example prompts

• "Run a suite of tests on the /users endpoint to check if it correctly returns 401 errors for unauthenticated requests."
• "Validate that the payment processing API returns a valid JSON response with a transaction_id field upon successful submission."
• "Simulate a high-volume load test on the inventory update API and report any timeout occurrences."

Tips & gotchas

Ensure you have valid API keys or access tokens configured before running tests against production environments to avoid triggering rate limits. Always review error logs generated during testing to distinguish between network failures and logic errors in your code.