Testing Multi-Skill Agents
Unit testing skills, integration testing chains, evaluation suites, and regression testing.
Evaluation with Test Suites
How to build a structured evaluation harness of 20-50 tasks to measure agent performance using automated scoring methods including exact match, LLM-as-judge, and rubric-based assessment.
Integration Testing Skill Chains
How to test that agent skills work correctly together by validating data flow between steps, conditional branching logic, and error propagation across multi-skill chains.
Regression Testing for Agents
Techniques for ensuring that changes to an agent do not break existing capabilities, including golden test sets, trajectory snapshot testing, statistical regression detection, and CI/CD integration.
Unit Testing Individual Skills
How to test each agent skill in isolation using mocks, input validation tests, output format assertions, and edge case coverage — forming the base of the testing pyramid for AI agents.