Waza Runner

Skill Eval Runner

> Evaluate Agent Skills like you evaluate AI Agents

This skill runs evaluations on other skills to measure their effectiveness using the same patterns that power AI agent evaluations.

When to Use

• Running quality evaluations on a skill
• Testing if a skill triggers on correct prompts
• Measuring skill behavior quality
• Generating eval reports for CI/CD

Commands

Run Evals

Run evals on 

Initialize Eval Suite

Create evals for 

Generate Report

Generate eval report for 

Workflow

1. Check for Eval Suite: Look for eval.yaml in the skill directory
2. Load Tasks: Parse task definitions from tasks/*.yaml
3. Execute: Run each task through the configured graders
4. Report: Output results in JSON or Markdown format

Metrics Measured

| Metric | Description | Default Threshold | |--------|-------------|-------------------| | Task Completion | Did the skill accomplish the goal? | 80% | | Trigger Accuracy | Was skill invoked on correct prompts? | 90% | | Behavior Quality | Tool calls, efficiency, reasoning | 70% |

Grader Types

• Code Graders: Deterministic assertions, regex matching
• LLM Graders: Model-as-judge with configurable rubrics
• Human Graders: Manual review workflow

Example Usage

Running Evals

# From CLI
waza run ./my-skill/eval.yaml

# Output to file
waza run ./my-skill/eval.yaml -o results.json

Interpreting Results

{
  "summary": {
    "pass_rate": 0.85,
    "composite_score": 0.82
  },
  "metrics": {
    "task_completion": { "score": 0.9, "passed": true },
    "trigger_accuracy": { "score": 0.95, "passed": true }
  }
}

References

• [Eval Specification](references/EVAL-SPEC.md) - Full eval.yaml schema
• [Writing Tasks](references/WRITING-TASKS.md) - Task definition guide
• [Grader Reference](references/GRADERS.md) - Available graders

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: microsoft
• Source: microsoft/waza
• License: MIT
• Homepage: https://microsoft.github.io/waza/

Install and usage instructions live in the source repository linked above.