eval-harness

Automate Claude Code session evaluations with pass@k and pass^k metrics.

24|5|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/Luohaothu/everything-codex --skill eval-harness-luohaothu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eval-harness
Source: https://github.com/Luohaothu/everything-codex/tree/main/docs/zh-CN/skills/eval-harness
Command: npx skills add https://github.com/Luohaothu/everything-codex --skill eval-harness-luohaothu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates formal evaluation of Claude Code sessions, enabling developers to define, run, and track tests using Evaluation-Driven Development (EDD) principles.

Core Features & Use Cases

  • Support for capability and regression evaluations with pass@k and pass^k metrics
  • Codified evaluation definitions, automated checks, and structured reports
  • Flexible scoring via code-based, model-based, and human graders
  • Easy integration into development workflows and CI-like environments

Quick Start

Define an evaluation with /eval define feature-name, run the checks with /eval check feature-name, and generate the report with /eval report feature-name

Frequently Asked Questions about eval-harness

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

FAQPage Schema
How do I automate regression testing for Claude Code sessions?

You can automate regression testing for Claude Code sessions by codifying evaluation definitions and running automated checks to measure reliability with pass@k and pass^k metrics.

What is Evaluation-Driven Development for AI coding workflows?

Evaluation-Driven Development (EDD) is a process to define, run, and track formal evaluations across features, model prompts, and conversation contexts to measure AI coding reliability.

How do I measure pass@k and pass^k metrics for LLM capabilities?

Measure pass@k and pass^k metrics by running capability and regression assessments using flexible scoring via code-based, model-based, and human graders, generating structured reports with baseline comparisons.

Can I integrate formal AI evaluations into a CI-like development workflow?

Yes, formal evaluations support easy integration into development workflows and CI-like environments, allowing you to define evaluations, execute automated checks, and generate structured reports.

What graders work with automated evaluation checks for conversation contexts?

Automated evaluation checks support flexible scoring via code-based graders, model-based graders, and human graders to accurately assess capabilities across various conversation contexts.

How do I generate structured reports comparing model prompt baselines?

Generate structured reports comparing baselines by executing automated checks on defined evaluations, which outputs structured reporting including baseline comparisons and scorer outputs.