waza-cli
Drive the waza CLI (microsoft/waza) to evaluate agent skills with real LLM execution, model comparison, and CI regression gating. Use when checking a skill for submission readiness, running behavioral eval suites with LLM graders, comparing models A/B, gating skill regressions in CI, or measuring skill quality with an LLM judge. Do not use for fast static structure audits with zero LLM cost (use skill-eval).
Datos de origen
- Repositorio
- arisng/github-copilot-fc
- Última actividad en el origen
- 18 de septiembre de 2026 a las 16:42
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 5
- Forks
- 0
Opciones de instalación
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Revisa los archivos de origen
Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.
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4 archivosMostrando SKILL.md
SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- waza-cli
- description
- Drive the waza CLI (microsoft/waza) to evaluate agent skills with real LLM execution, model comparison, and CI regression gating. Use when checking a skill for submission readiness, running behavioral eval suites with LLM graders, comparing models A/B, gating skill regressions in CI, or measuring skill quality with an LLM judge. Do not use for fast static structure audits with zero LLM cost (use skill-eval).
- metadata
- {"version":"0.1.0"}
# Waza CLI Evaluation
Run [waza](https://github.com/microsoft/waza) commands against a skill dir. Install: `go install github.com/microsoft/waza@latest`.
USE FOR: check my skill, run my evals, compare models, gate CI regressions, score skill quality. DO NOT USE FOR: first-draft authoring (use skill-creator); offline static audits (use skill-eval).
## Choose the command
| Goal | Command |
|------|---------|
| Readiness, compliance, token budget | `waza check <skill-dir>` |
| LLM-judge quality (5 dimensions) | `waza quality <skill-dir>` |
| Behavioral eval, real execution | `waza run <eval.yaml>` |
| Model A/B comparison | `waza run --baseline` |
| CI regression gate | `waza gate` |
| Determinism check | `waza snapshot` + `waza replay` |
## Quick recipes
```bash
waza check skills/<name> # offline, no LLM cost
waza tokens suggest skills/<name>
waza run skills/<name>/eval.yaml # needs Copilot auth
waza run --baseline skills/<name>/eval.yaml
waza gate --baseline baseline.json --current results.json
```
If `waza check` flags the 500-token budget on a large skill, raise `tokens.limits.max` in `.waza.yaml` — see [eval format reference](references/waza-eval-format.md#token-budget-override).
## Decision rule
Run `skill-eval` first for zero-cost structural checks. Escalate to `waza` for real model execution, model comparison, or CI regression gating. Complementary, not replacements.
Read references when needed:
- [Eval format and graders](references/waza-eval-format.md) — authoring eval.yaml, task YAML, trigger tests
- [Full command surface](references/waza-commands.md) — flags/subcommands not covered above
- [CI integration](references/waza-ci.md) — wiring `waza gate`/`waza run` into GitHub Actions
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