Agent Evaluation

What it does

The xfstudio-agent-evaluation skill provides a structured way to assess and benchmark AI agents. It allows users to define evaluation criteria, run agents against predefined tasks or prompts, and generate reports summarizing agent performance. This facilitates objective comparison of different agents and identification areas for improvement.

When to use it

• Agent Selection: Compare multiple AI agents to determine which best suits a specific task or application.
• Performance Monitoring: Track the performance of an existing agent over time, identifying regressions or improvements after updates.
• Benchmarking: Establish baseline scores for agents against standardized tasks and datasets.
• Development & Tuning: Evaluate changes made to an agent’s configuration or training data.

Key capabilities

• Define evaluation criteria (e.g., accuracy, speed, cost).
• Run agents against predefined prompts/tasks.
• Generate performance reports.
• Agent comparison functionality.

Example prompts

• "Evaluate Agent A and Agent B on the sentiment analysis task."
• "Run a benchmark test of Agent C using the provided dataset and report accuracy, latency, and cost."
• "Compare Agent D's performance against its previous version on the customer service chatbot scenario."

Tips & gotchas

The skill requires clear definition of evaluation criteria for meaningful results. Ensure that tasks or prompts used for evaluation are representative of the intended use case to get accurate comparisons.