ai-system-testing

What problem does it solve?

AI-powered features can produce nondeterministic results and harmful or off-brand outputs. This skill provides a rigorous testing approach to validate prompts, tool calls, evaluation frameworks, and safety controls across LLM-based features.

Core Features & Use Cases

• Prompt regression testing to catch unintended changes in model behavior.
• Tool-call validation and argument typing to ensure correct inter-service communication.
• Safety and hallucination risk assessment with structured eval datasets and guardrails.
• Use Case: Validate a chat assistant's prompt templates, responses, and tool invocations in production-like scenarios.

Quick Start

Set up an AI feature test suite for prompts and tool calls and run a basic evaluation against a representative dataset.