# Waza

**WORKFLOW SKILL** - Evaluate AI agent skills using structured benchmarks with YAML...

- Repository: https://github.com/microsoft/waza (1496 stars)
- Category: Testing
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add microsoft/waza --skill waza -g -a claude-code -y`
Codex: `npx skills add microsoft/waza --skill waza -g -a codex -y`
Cursor: `npx skills add microsoft/waza --skill waza -g -a cursor -y`
Gemini CLI: `npx skills add microsoft/waza --skill waza -g -a gemini-cli -y`

## Description

**WORKFLOW SKILL** - Evaluate AI agent skills using structured benchmarks with YAML specs, fixture isolation, and pluggable validators. USE FOR: run waza, waza help, run eval, run benchmark, evaluate skill, test agent, generate eval suite, init eval, compare results, score agent, agent evaluation, skill testing, cross-model comparison. DO NOT USE FOR: improving skill frontmatter (use waza dev), creating new skills from scratch (use skill-creator), token counting or budget checks (use waza tokens). INVOKES: Copilot SDK executor, mock engine, code/regex validators. FOR SINGLE OPERATIONS: use waza run directly for a single benchmark.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Waza

> "The way of technique, measure, refine, master."

A Go CLI tool for evaluating AI agent skills through structured benchmarks. Define test cases in YAML, run them against agent engines, and validate results with pluggable scoring validators.

## Help

When user says "waza help" or asks how to use waza:

The rest: https://github.com/microsoft/waza/blob/HEAD/skills/waza/SKILL.md