Eval Core Scorecard

What it does

The eval-core-scorecard skill provides a structured framework for evaluating AI assistant responses. It generates a scorecard based on predefined criteria, assigning scores and providing justifications for each evaluation point. This allows for consistent and objective assessment of AI agent performance across various tasks and prompts.

When to use it

• Benchmarking: Compare the performance of different AI agents or models on specific tasks.
• Prompt Engineering Iteration: Evaluate how changes to your prompts impact an AI's output quality.
• Training Data Assessment: Analyze the effectiveness of training data by assessing agent responses to representative examples.
• Identifying Weaknesses: Pinpoint areas where an AI assistant struggles and requires further improvement.

Key capabilities

• Scorecard generation based on predefined criteria
• Automated scoring and justification
• Evaluation across various dimensions (e.g., accuracy, relevance, helpfulness)
• Consistent assessment framework

Example prompts

• "Evaluate the following response: [AI Response] using the core scorecard."
• "Score this AI assistant's answer to the prompt '[Prompt]' and provide justifications for each score."
• "Generate a scorecard for this conversation between a user and an AI agent: [Conversation Transcript]"

Tips & gotchas

The effectiveness of the skill depends on the quality and relevance of the predefined evaluation criteria. Ensure these criteria are aligned with your specific assessment goals for accurate and meaningful results.