model-evaluation
byawslabs· 90 skills
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.
How to install model-evaluation?
awslabs/agent-plugins/model-evaluation
$npx -y skills add awslabs/agent-plugins --skill model-evaluationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/awslabs/agent-plugins" --skill "awslabs/agent-plugins/model-evaluation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/awslabs/agent-plugins" that are relevant to the current task. Run `npx skills add "https://github.com/awslabs/agent-plugins"` and select the relevant skills, then follow their instructions.
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