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.