部署与运维

adk-eval-guide

Name: adk-eval-guide
Author: google

google/adk-docs

MUST READ before running any ADK evaluation. ADK evaluation methodology — eval metrics, evalset schema, LLM-as-judge, tool trajectory scoring, and common failure causes. Use when evaluating agent quality, running adk eval, or debugging eval results. Do NOT use for API code patterns (use adk-cheatsheet), deployment (use adk-deploy-guide), or project scaffolding (use adk-scaffold).

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收录于 2026.03.09

安装命令

$ npx skills add https://github.com/google/adk-docs --skill adk-eval-guide

SKILL.md

ADK Evaluation Guide

Scaffolded project? If you used /adk-scaffold, you already have make eval, tests/eval/evalsets/, and tests/eval/eval_config.json. Start with make eval and iterate from there.

Non-scaffolded? Use adk eval directly — see Running Evaluations below.

Reference Files

File	Contents
`references/criteria-guide.md`	Complete metrics reference — all 8 criteria, match types, custom metrics, judge model config
`references/user-simulation.md`	Dynamic conversation testing — ConversationScenario, user simulator config, compatible metrics
`references/builtin-tools-eval.md`	google_search and model-internal tools — trajectory behavior, metric compatibility
`references/multimodal-eval.md`	Multimodal inputs — evalset schema, built-in metric limitations, custom evaluator pattern

SKILL.md

ADK Evaluation Guide

Reference Files

The Eval-Fix Loop

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