使用方法
- 复制安装命令，在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物，并对照来源检查输出。
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill design-discriminating-prediction开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况，不等于独立质量或安全测试。
仓库原始内容
按源仓库内容呈现，保留标题、案例、代码、表格、链接以及原文引用的演示图片。
design-discriminating-prediction
Purpose
Design an observation or test whose outcomes distinguish among competing hypotheses.
Input contract
yaml
required: [hypotheses, current_evidence, target_comparison]
optional: [constraints, measurable_variables, candidate_interventions]
constraints: [predictions must differ on an observable outcome]Procedure
- Identify the unresolved contrast between hypotheses.
- Derive each hypothesis's prediction under candidate conditions.
- Select the condition maximizing interpretable separation within constraints.
- Specify outcome, measurement, and interpretation for each possible result.
Output contract
yaml
produces: [discriminating_test, prediction_table, measurement_plan, interpretation_rules]
delta_fields: [hypothesis_updates, decisions, uncertainties, recommended_jumps]Quality gates
- Predictions differ before the test is selected.
- Confounds and ambiguous outcomes are recorded.
Failure and counterexamples
Do not call a test discriminating when all hypotheses predict the same result or when the measurement cannot separate them.
Provenance map
resolved: design-discriminating-prediction
