skills.rest
sayasaya8039
sayasaya8039COMMUNITY
Explore all skills by this author →
GitHub

eval-harness

Define pass/fail criteria and run regression evals for Claude Code agents.

2|Updated Mar 12, 2026
Search Tags:#claude code#regression testing#eval-driven development#agent evaluation#pass@k metrics#ai workflow testing#reliability benchmarking
One-click install
npx skills add https://github.com/sayasaya8039/ZWG_Terminal --skill eval-harness-sayasaya8039
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: eval-harness
Source: https://github.com/sayasaya8039/ZWG_Terminal/tree/main/.claude/skills/eval-harness
Command: npx skills add https://github.com/sayasaya8039/ZWG_Terminal --skill eval-harness-sayasaya8039

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the guesswork of measuring Claude Code agent performance by providing a structured, formal evaluation framework that defines clear pass/fail criteria for AI-assisted workflows, replacing ad-hoc testing with reliable, repeatable metrics.

Core Features & Use Cases

  • Eval-Driven Development (EDD) Workflow: Guide teams to define success criteria before implementation, run evals continuously during development, and track regressions with each change.
  • Multiple Grader Types: Support code-based deterministic checks, model-based LLM evaluation, and human review for different eval needs.
  • Reliability Metrics: Calculate pass@k and pass^k metrics to measure agent reliability across attempts and model versions.
  • Use Case: A development team building a new AI-powered code review tool can use this Skill to create regression evals for existing functionality, benchmark performance across Claude model versions, and catch breaking prompt changes before deployment.

Quick Start

Use the eval-harness skill to define evaluation criteria for your new Claude Code feature and run a baseline reliability check.

Frequently Asked Questions about eval-harness

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I measure Claude Code agent reliability and performance?▼

You can measure Claude Code agent reliability by defining pass/fail success criteria and calculating pass@k and pass^k metrics to track agent performance across attempts and model versions.

What is eval-driven development for AI workflows?▼

Eval-driven development for AI workflows is defining success criteria before implementation and running continuous regression evals to track AI agent performance with each code or prompt change.

How do I prevent regressions when changing prompts in AI-assisted development?▼

To prevent regressions when changing prompts, you can build regression test suites that run capability evals and apply code-based deterministic checks to catch breaking prompt changes before deployment.

Can I use model-based LLM evaluation for AI agent testing?▼

Yes, you can use model-based LLM evaluation alongside code-based deterministic checks and human review to grade AI agent testing results and generate standardized eval reports.

How do I benchmark Claude model performance across different versions?▼

You can benchmark Claude model performance across versions by running standardized capability evals and calculating pass@k reliability metrics to compare results against a baseline.

Do I need a specific testing framework to run regression evals for AI agents?▼

No specific testing framework is required; the skill provides a structured evaluation framework that defines pass/fail criteria to replace ad-hoc testing with repeatable reliability metrics.

Related Skills

Explore More Software Engineering Skills→
xu-xiangxu-xiang
1.8k

eval-harness

Define, execute, and report capability and regression evals for Claude Code sessions.

Community
Intermediate
Zenobia000Zenobia000
2

eval-harness

Define and run standardized evals for Claude Code workflows with pass@k metrics.

Community
Advanced
TruCol270TruCol270
1

eval-harness

Evaluate Claude Code sessions with configurable graders and pass@k metrics.

Community
Advanced
ysyecustysyecust
40

eval-harness

Codify and automate Claude Code session evaluations with pass@k metrics.

Community
Intermediate