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 construct-validity-envelope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。
construct-validity-envelope
Purpose
Synthesize multi-axis breakpoints into a multidimensional statement of where a claim or method remains valid.
Input contract
yaml
required: [claim_or_method, axis_results, validity_criteria]
optional: [boundary_interactions, uncertainty_model, extrapolation_policy]
constraints: [each boundary is tied to an axis result and evidence]Procedure
- Align axis scales, directions, and validity labels.
- Combine breakpoint regions and inspect interaction effects.
- Mark supported, uncertain, and invalid regions.
- Emit the envelope with extrapolation warnings and monitoring observables.
Output contract
yaml
produces: [validity_envelope, boundary_conditions, uncertain_regions, monitoring_observables]
delta_fields: [findings, uncertainties, open_questions]Quality gates
- No envelope boundary lacks an axis-level witness.
- Interactions are reported when independent-axis combination is unjustified.
- Extrapolated regions are labeled as such.
Parameterization
Caller supplies axis schema, breakpoint format, validity criteria, interaction policy, and uncertainty representation.
Failure and counterexamples
Reject envelopes inferred from one axis, unsupported extrapolation, or boundaries without observables.
Provenance map
- concept: deep-insight/validity-envelope-construction
- concept: stress-test/validity-envelope-construction
