waza
**WORKFLOW SKILL** - Evaluate AI agent skills using structured benchmarks with YAML specs, fixture isolation, and pluggable validators.
Skill by microsoftOfficial
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/microsoft-waza
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About
Use cases: testing, productivity, finance, agent-building
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/waza
What's inside
- Skill name
waza- 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.
- License
- MIT
- Instructions
- 211 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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: ``` ╔══════════════════════════════════════════════════════════════════╗ ║ WAZA - CLI Tool for Evaluating Agent Skills ║ ╠══════════════════════════════════════════════════════════════════╣ ║ ║ ║ COMMANDS: ║ ║ waza run <eval.yaml> # Run an evaluation benchmark ║ ║ waza init [directory] # Initialize a new eval suite ║ ║ waza generate <SKILL.md> # Generate eval from SKILL.md ║ ║ waza compare <r1> <r2> ... # Compare result files ║ ║ waza dev [skill-path] # Improve SKILL.md compliance ║ ║ ║ ║ RUN FLAGS: ║ ║ --context-dir, -c Fixtures directory (default: ./fixtures) ║ ║ --output, -o Save results JSON to file ║ ║ --verbose, -v Verbose output ║ ║ --task, -t Filter tasks by name (repeatable) ║ ║ --parallel, -p Run tasks in parallel ║ ║ --workers, -w Number of parallel workers ║ ║ --transcript-dir Save per-task transcripts ║ ║ ║ ║ COMPARE FLAGS: ║ ║ --format, -f Output format: table or json ║ ║ ║ ║ GENERATE FLAGS: ║ ║ --output-dir, -d Output directory for generated files ║ ║ ║ ║ DEV FLAGS: ║ ║ --target Adherence level: low|medium|high ║ ║ --max-iterations Max improvement iterations (default: 5) ║ ║ --auto Auto-apply without prompting ║ ║ ║ ║ WORKFLOW: ║ ║ 1. waza init my-eval # Scaffold eval suite ║ ║ 2. Edit eval.yaml + tasks # Define test cases ║ ║ 3. waza run eval.yaml -v # Execute benchmark ║ ║ 4. waza compare a.json b.json # Cross-model comparison ║ ║ ║ ║ FIXTURE ISOLATION: ║ ║ Each task gets a fresh temp workspace with fixtures copied ║ ║ in. Original fixtures are never modified. ║ ║ ║ ╚══════════════════════════════════════════════════════════════════╝ ``` ## Commands ### `waza run` Run an evaluation benchmark from a YAML spec file. ```bash # Run with default mock engine waza run path/to/eval.yaml --context-dir path/to/fixtures # Verbose output with results saved waza run eval.yaml -c ./fixtures -v -o results.json # Filter to specific tasks waza run eval.yaml -t "task-name-1" -t "task-name-2" # Parallel execution waza run eval.yaml --parallel --workers 4 # Save per-task transcripts waza run eval.yaml --transcript-dir ./transcripts ``` ### `waza init` Initialize a new evaluation suite with a compliant directory structure. ```bash # Initialize in current directory waza init # Initialize in a named directory waza init my-eval-suite ``` Creates: `eval.yaml`, `tasks/` with example task, `fixtures/` with example fixture. ### `waza generate` Generate an eval suite from an existing SKILL.md file. ```bash # Generate eval from SKILL.md waza generate path/to/SKILL.md # Specify output directory waza generate SKILL.md --output-dir ./my-eval ``` Parses YAML frontmatter (name, description) and creates eval.yaml, starter tasks, and fixtures. ### `waza compare` Compare results from multiple evaluation runs side by side. ```bash # Compare two result files waza compare run1.json run2.json # Compare three or more waza compare gpt4.json claude.json gemini.json # JSON output waza compare run1.json run2.json --format json
From microsoft/waza, MIT.
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Signals
- Stars
- 1,427
- Forks
- 92
- Open issues
- 5
- Last commit (this folder)
- Mar 3, 2026 (7 months ago)
- Last release
- Oct 20, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/microsoft/waza
- Website
- microsoft.github.io/waza/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
waza skill. Agent Mart. https://agentmart.dev/skills/microsoft-waza (last updated 2026-10-24)