microsoft/waza-runner
| Run evaluations on Agent Skills to measure their effectiveness. "check skill triggers", "skill compliance check", "measure skill performance", "run evals on [skill-name]", "grade skill execution". (use sensei), or general testing unrelated to skills.
npx skills add https://github.com/microsoft/waza --skill waza-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.
Run evals on <skill-name>
Create evals for <skill-name>
Generate eval report for <skill-name>
eval.yaml in the skill directorytasks/*.yaml| 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% |
# From CLI
waza run ./my-skill/eval.yaml
# Output to file
waza run ./my-skill/eval.yaml -o results.json
{
"summary": {
"pass_rate": 0.85,
"composite_score": 0.82
},
"metrics": {
"task_completion": { "score": 0.9, "passed": true },
"trigger_accuracy": { "score": 0.95, "passed": true }
}
}
Take microsoft/waza-runner from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.