agent-evaluation

Installation
Summary

Framework for testing LLM agents across behavioral, capability, and reliability dimensions with production-focused evaluation patterns.

  • Covers five core evaluation areas: agent testing, benchmark design, capability assessment, reliability metrics, and regression testing
  • Emphasizes statistical test evaluation (multiple runs with distribution analysis) and behavioral contract testing over single-run or string-matching approaches
  • Includes adversarial testing patterns and guards against common pitfalls like benchmark overfitting, flaky tests, and data leakage
  • Designed to catch production failures that benchmarks miss, recognizing that LLM agent evaluation requires non-deterministic result handling
SKILL.md

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

Capabilities

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

Prerequisites

  • Knowledge: Testing methodologies, Statistical analysis basics, LLM behavior patterns
  • Skills_recommended: autonomous-agents, multi-agent-orchestration
  • Required skills: testing-fundamentals, llm-fundamentals

Scope

Related skills
Installs
592
GitHub Stars
37.3K
First Seen
Jan 19, 2026