Agent Evaluation

What it does

The omer-metin-agent-evaluation skill provides a framework for evaluating the performance of AI agents. It allows users to define evaluation criteria, run agent tasks, and receive structured feedback on the agent's effectiveness against those criteria. This facilitates iterative improvement and ensures agents are meeting desired objectives.

When to use it

• Testing new agent versions: Evaluate changes made to an agent’s logic or capabilities before deployment.
• Comparing different agents: Determine which agent performs best for a specific task based on defined metrics.
• Identifying areas for improvement: Pinpoint weaknesses in an agent's performance through detailed evaluation reports.
• Validating agent alignment: Ensure the agent’s behavior aligns with intended goals and ethical guidelines.

Key capabilities

• Define custom evaluation criteria.
• Run predefined tasks against agents.
• Generate structured feedback reports.
• Compare agent performance across multiple runs.

Example prompts

• "Evaluate Agent X on task 'Summarize this article' using the following criteria: accuracy, conciseness, and clarity."
• "Run a benchmark test of Agents A and B against the 'Customer Service Chatbot' scenario."
• "Generate a report comparing Agent Y’s performance across five different evaluation runs."

Tips & gotchas

The quality of the evaluation depends heavily on well-defined criteria. Ensure your evaluation metrics are specific, measurable, achievable, relevant, and time-bound (SMART) for accurate results.