validate-causal-link

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 validate-causal-link

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。

Purpose

Audit a causal relation for clarity, existence, sufficiency, and logical completeness using CLR-style checks.

Input contract

yaml

required: [causal_relation, source_evidence, boundary_conditions]
optional: [causal_graph, alternative_explanations, clr_checklist]
constraints: [the relation has explicit cause and effect; distinguish clarity, existence, sufficiency, and logical completeness]

Procedure

Parse the causal relation and define its scope and terms.
Check whether the stated cause exists and is connected to the effect.
Test sufficiency, omitted conditions, and alternative explanations.
Record each CLR result and return a validated, weakened, or unresolved link.

Output contract

yaml

produces: [causal_link_assessment, clr_results, missing_conditions, evidence_requests]
delta_fields: [findings, evidence_updates, hypothesis_updates, uncertainties]

Quality gates

All eight CLR categories are retained when the caller supplies the full checklist.
Clarity, existence, sufficiency, and logical completeness are reported separately.
A causal label is not accepted when evidence supports only association.

Parameterization

The caller must provide the cause/effect schema, evidence and boundary conditions, CLR checklist, alternative-explanation fields, and verdict vocabulary.

Failure and counterexamples

Reject links with undefined variables, missing scope, circular support, or causal language unsupported by the evidence.

Provenance map

resolved: deep-insight/clr-validation

Preserved source criteria ledger

source	physical line	kind	source criterion
deep-insight/clr-validation	13	structural	Retain eight CLR validation categories for causal claims: clarity, existence, sufficiency, and logical completeness are explicit checks.