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Plan and run conversational AI agent evaluations with test generation and analysis.

skills/eval/SKILL.md

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# EvalKit

## Overview

EvalKit is a conversational evaluation framework for AI agents that guides you through creating robust evaluations using the Strands Evals SDK. Through natural conversation, you can plan evaluations, generate test data, execute evaluations, and analyze results.

## Parameters

- **agent_path** (required): Path to the agent folder to evaluate (e.g., `./chatbot-agent`, `/path/to/my-agent`)
- **evaluation_focus** (optional): Specific aspects to evaluate (e.g., "response quality", "tool calling accuracy")
- **test_case_count** (optional, default: 3): Number of test cases to generate
- **output_format** (optional, default: "jsonl"): Format for test data output

**Constraints for parameter acquisition:**