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waza

**WORKFLOW SKILL** - Evaluate AI agent skills using structured benchmarks with YAML specs, fixture isolation, and pluggable validators.

Skill by microsoftOfficial

IndexedMIT★ 1,427
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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.

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About

**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.

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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  • codeload.github.com · found in install command

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  • ~/.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
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

waza skill. Agent Mart. https://agentmart.dev/skills/microsoft-waza (last updated 2026-10-24)