How does this skill handle flaky agent tests?

It implements statistical test evaluation, running tests multiple times to analyze result distributions and ensure consistent performance across different runs.

Why is agent evaluation different from traditional software testing?

Unlike traditional software, agents are non-deterministic; the same input can yield different results, requiring statistical analysis and behavioral contracts rather than simple assertions.

What are the risks of single-run testing for agents?

Single-run tests provide a false sense of security, as they fail to capture the variance and potential hallucinations that occur over multiple iterations in production.

What is behavioral contract testing for AI?

It involves defining specific behavioral invariants—rules that the agent must never break—and testing for these conditions regardless of the specific phrasing of the output.

Agent Evaluation

Name: Agent Evaluation
Author: claudiodearaujo

byclaudiodearaujo

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Seguridad y Pruebas

Evaluates and benchmarks LLM agents using statistical testing, behavioral contracts, and reliability metrics to ensure production readiness.

The Agent Evaluation skill transforms Claude into a quality engineer specialized in the unique challenges of AI performance. It provides robust frameworks for behavioral regression testing, adversarial assessment, and statistical analysis of agent outputs, addressing the inherent non-determinism of large language models. This skill is essential for developers who need to move beyond simple string matching and build resilient, reliable agentic systems that perform consistently in real-world environments rather than just passing static benchmarks.

Características Principales

011 GitHub stars

02Statistical evaluation of non-deterministic outputs

03Automated regression testing for LLM capabilities

04Adversarial testing to identify edge-case failures

05Behavioral contract testing for agent invariants

06Production-grade reliability metrics and benchmarking

Casos de Uso

01Identifying behavioral regressions after updating an LLM model or prompt system

02Benchmarking a new agent against complex real-world production scenarios

03Quantifying agent reliability through multi-run statistical distribution analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro agent-evaluation

For use in Claude.ai and ChatGPT

Download Skill