AI Agent Evaluation

Test and benchmark LLM agents with behavioral tests, capability assessments, reliability metrics, and production monitoring — catching the failures that pass benchmarks but break in the real world.

This skill builds evaluation for LLM agents. It writes behavioral regression tests for non-deterministic outputs, designs capability assessments and task benchmarks, defines reliability metrics beyond pass/fail, and sets up production monitoring so you catch quality regressions early — accounting for the fact that the same input can produce different outputs.

When to use

Use when you need to test, benchmark, or monitor an LLM agent's quality and reliability — behavioral tests, capability assessment, and production metrics.

Examples

Write agent tests

Behavioral regression suite

Build a behavioral test suite for my agent that checks key tasks still produce acceptable outputs across model and prompt changes

Define reliability metrics

Measure beyond pass/fail

Help me design reliability metrics and a benchmark for my agent so I can track quality over time, not just a single pass rate