scenario-test-designer

To design scenario-based tests for AI agents, use a template-driven tool that generates standardized test files and evaluation rubrics, ensuring repeatable assessments across academic, pressure, edge-case, and integration testing categories.

Scenario-based testing is an evaluation method that validates AI agent behaviors across skills and commands. It applies standardized rubrics to assess academic, pressure, edge-case, and integration test scenarios for repeatable performance measurement.

You generate evaluation rubrics for AI agent testing by initializing scenario tests with a CLI tool, which automatically creates associated rubric files to standardize the assessment of generated test scenarios.

Yes, scenario testing supports edge-case and pressure test categories, alongside academic and integration testing, to provide diverse evaluation coverage for various AI agent behaviors and commands.

Yes, you can customize test scenarios for specific user personas by using interactive AskUserQuestion prompting during test initialization, allowing you to generate persona- and context-specific test files.

Template-driven scenario test generation requires manual review and customization of the generated test and rubric files to ensure accuracy, meaning it accelerates but does not fully automate the test authoring workflow.