agent-eval

What problem does it solve?

This Skill addresses the critical need for robust evaluation of AI Agents, ensuring their quality, reliability, and performance are measurable and improvable.

Core Features & Use Cases

• Evaluation System Design: Create comprehensive evaluation frameworks tailored to specific Agent types (coding, conversational, research, etc.).
• Task and Grader Definition: Design specific evaluation tasks and select appropriate grading mechanisms (code-based, LLM-based, human).
• Framework Implementation: Set up and integrate evaluation tools and pipelines for continuous assessment.
• Use Case: For a new code-fixing Agent, this Skill helps define tasks like "fix-auth-bypass," select graders (e.g., unit tests, security scans, LLM code quality checks), and establish metrics like pass@1.

Quick Start

Use the agent-eval skill to design an evaluation system for a new conversational AI agent.