Use when the user needs to design evaluation datasets, create test cases, stratify samples, generate adversarial examples, extract eval dimensions from traces/specs, or build a labeled evaluation set. Also use when the user mentions test data design, eval coverage, difficulty stratification, synthetic data generation for eval, or "how to create good evaluation data." Outputs datasets in OpenJudge-compatible format.
How to install 01-eval-design?
agentscope-ai/openjudge/01-eval-design
$npx -y skills add agentscope-ai/openjudge --skill 01-eval-designInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/agentscope-ai/openjudge" --skill "agentscope-ai/openjudge/01-eval-design"` 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/agentscope-ai/openjudge" that are relevant to the current task. Run `npx skills add "https://github.com/agentscope-ai/openjudge"` and select the relevant skills, then follow their instructions.
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