yogsoth-ai/de-anthropocentric-research-engine

downgrade-equivalence-claim

When full equivalence fails, downgrade to the strongest defensible relation (e.g.

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使用方法

  1. 复制安装命令,在自己的智能体环境安装前先检查源码包。
  2. 从原始文档核对所需工具、凭据和支持的宿主。
  3. 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 downgrade-equivalence-claim

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。

downgrade-equivalence-claim

Purpose

When full equivalence fails, downgrade to the strongest defensible relation and record what was not preserved.

Input contract

yaml
required: [equivalence_claim, preservation_report, counterexamples]
optional: [relation_ladder, scope]
constraints: [each downgrade must name lost structures or operations]

Procedure

  1. List failed preservation obligations.
  2. Test candidate weaker relations.
  3. Select the strongest relation supported and document exclusions.

Output contract

yaml
produces: [downgraded_relation, lost_invariants, supporting_mapping, exclusions]
delta_fields: [findings, evidence_updates, uncertainties, decisions]

Quality gates

  • Downgrade cannot silently retain a failed invariant.

Failure and counterexamples

Do not downgrade by vocabulary alone; provide the preserved relation and counterexample boundary.

Provenance map

  • resolved: isomorphism-falsification

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