yogsoth-ai/de-anthropocentric-research-engine

parse-patent-claim

Parse independent/dependent claim structure, extract elements, and map claim features to technical functions/domains.

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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 parse-patent-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。

parse-patent-claim

Purpose

Parse independent and dependent claim structure, extract elements, and map claim features to technical functions or domains.

Input contract

yaml
required: [claim_text, claim_set]
optional: [technical_ontology, family_context, jurisdiction]
constraints: [element boundaries, dependency links, and source spans must be retained]

Procedure

  1. Identify independent claims and dependency relations.
  2. Segment each claim into required elements, limitations, and functional language.
  3. Map elements to technical functions and preserve alternative interpretations.
  4. Emit a source-linked claim-element graph.

If claim elements, dependencies, and limiting language are parsed, consider assess-patent-claim-scope as the next tactic.

Output contract

yaml
produces: [claim_element_map, dependency_graph, function_map, interpretation_alternatives]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

  • Every element points to a claim span.
  • Dependency and optionality are not conflated.

Failure and counterexamples

Do not paraphrase away limiting language or treat a dependent claim as independent coverage.

Provenance map

  • resolved: claim-parsing
  • resolved: knowledge-acquisition-claim-decomposition

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