How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill parse-patent-claimBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
parse-patent-claim
Purpose
Parse independent and dependent claim structure, extract elements, and map claim features to technical functions or domains.
Input contract
required: [claim_text, claim_set]
optional: [technical_ontology, family_context, jurisdiction]
constraints: [element boundaries, dependency links, and source spans must be retained]Procedure
- Identify independent claims and dependency relations.
- Segment each claim into required elements, limitations, and functional language.
- Map elements to technical functions and preserve alternative interpretations.
- 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
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-parsingresolved: knowledge-acquisition-claim-decomposition


