Skip to main content

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).

Jump to install

Source facts

Repository
arisng/github-copilot-fc
Last source activity
September 18, 2026 at 16:42
Detected SKILL.md language
English
Stars
5
Forks
0

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

File Explorer
4 files

Showing SKILL.md

SKILL.md
Source instructions · Read-only preview
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
View on GitHub