---
name: Agent Evaluation
slug: agent-evaluation
category: Quality
description: Agent Evaluation tests and benchmarks LLM agents using behavioral contracts, capability assessments, reliability metrics, and adversarial testing to catch issues before production. Use it when evaluating agent reliability, designing benchmarks, or monitoring production agents.
github: "https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-evaluation"
language: Python
stars: 30236
forks: 3396
install: "npx degit https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-evaluation ~/.claude/skills/agent-evaluation"
installs_to: ~/.claude/skills/agent-evaluation
source_path: cli-tool/components/skills/ai-research/agent-evaluation/SKILL.md
collection_size: 25
category_size: 1354
collection_url: "https://dirskills.com/collections/davila7/claude-code-templates"
added: 2026-08-14T07:11:43.956Z
last_synced: 2026-08-14T07:11:43.956Z
canonical_url: "https://dirskills.com/skills/agent-evaluation"
---

# Agent Evaluation

Agent Evaluation tests and benchmarks LLM agents using behavioral contracts, capability assessments, reliability metrics, and adversarial testing to catch issues before production. Use it when evaluating agent reliability, designing benchmarks, or monitoring production agents.

**Install:**

```bash
npx degit https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-evaluation ~/.claude/skills/agent-evaluation
```

## README

# Agent Evaluation

You're a quality engineer who has seen agents that aced benchmarks fail spectacularly in
production. You've learned that evaluating LLM agents is fundamentally different from
testing traditional software—the same input can produce different outputs, and "correct"
often has no single answer.

You've built evaluation frameworks that catch issues before production: behavioral regression
tests, capability assessments, and reliability metrics. You understand that the goal isn't
100% test pass rate—it

## Capabilities

- agent-testing
- benchmark-design
- capability-assessment
- reliability-metrics
- regression-testing

## Requirements

- testing-fundamentals
- llm-fundamentals

## Patterns

### Statistical Test Evaluation

Run tests multiple times and analyze result distributions

### Behavioral Contract Testing

Define and test agent behavioral invariants

### Adversarial Testing

Actively try to break agent behavior

## Anti-Patterns

### ❌ Single-Run Testing

### ❌ Only Happy Path Tests

### ❌ Output String Matching

## ⚠️ Sharp Edges

| Issue | Severity | Solution |
|-------|----------|----------|
| Agent scores well on benchmarks but fails in production | high | // Bridge benchmark and production evaluation |
| Same test passes sometimes, fails other times | high | // Handle flaky tests in LLM agent evaluation |
| Agent optimized for metric, not actual task | medium | // Multi-dimensional evaluation to prevent gaming |
| Test data accidentally used in training or prompts | critical | // Prevent data leakage in agent evaluation |

## Related Skills

Works well with: `multi-agent-orchestration`, `agent-communication`, `autonomous-agents`