Generates python code that evaluates SageMaker models. Supports two evaluation types: LLM-as-Judge and Custom Scorer. Use when the user says "evaluate my model", "run a benchmark", "test model performance", "how did my model perform", "compare models", or other similar requests.
安装
npx skills add awslabs/agent-plugins --skill model-evaluationnpx skills add awslabs/agent-plugins --skill model-evaluation -a claude-code -gnpx skills add awslabs/agent-plugins --skill model-evaluation -a codex -ggemini skills install https://github.com/awslabs/agent-plugins.git --path plugins/sagemaker-ai/skills/model-evaluationgh skill install awslabs/agent-plugins model-evaluationgit clone --depth 1 https://github.com/awslabs/agent-plugins /tmp/awslabs__agent-plugins
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/awslabs__agent-plugins/plugins/sagemaker-ai/skills/model-evaluation ~/.claude/skills/model-evaluation # Claude Code
cp -R /tmp/awslabs__agent-plugins/plugins/sagemaker-ai/skills/model-evaluation ~/.agents/skills/model-evaluation # Codex, Cursor, Gemini CLI, Copilot, OpenCode