Agent skill · research science · davila7
agent-evaluation
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
Why this skill is useful
Provides domain-specific knowledge on evaluating LLM agents that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-06. 30,138 stars on the source repository.
What this skill does
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
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills davila7/agent-evaluation