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/assess-patent-claim-scope

Assess protection breadth, limiting elements, support, overlap, design-around vulnerability, and likely scope uncertainty for a patent claim without making legal conclusions beyond the evidence.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-patent-claim-scope --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/assess-patent-claim-scope

Context preview

The summary Claude sees to decide when to auto-load this skill.

Assess protection breadth, limiting elements, support, overlap, design-around vulnerability, and likely scope uncertainty for a patent claim without making legal conclusions beyond the evidence.

SKILL.md

assess-patent-claim-scope.SKILL.md
name: assess-patent-claim-scope
description: "Assess protection breadth, limiting elements, support, overlap, design-around vulnerability, and likely scope uncertainty for a patent claim without making legal conclusions beyond the evidence."

assess-patent-claim-scope

Purpose

Assess claim breadth, limiting elements, support, overlap, design-around vulnerability, and scope uncertainty without making a legal conclusion beyond the evidence.

Input contract

required: [parsed_claim, cited_support, jurisdiction_scope]
optional: [related_claims, family_map, prior_art_records]
constraints: [each scope judgment must identify claim language, support, jurisdiction, and uncertainty]

Procedure

1. Separate mandatory, optional, functional, and contextual claim elements. 2. Map each element to disclosed support and identify limiting combinations. 3. Compare overlap and distinction against related claims and declared prior-art records. 4. Record design-around paths and unresolved interpretation questions.

Output contract

produces: [element_scope_map, support_map, overlap_assessment, design_around_options, scope_uncertainties]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]

Quality gates

  • Mandatory elements and jurisdiction are explicit.
  • Overlap claims cite the compared claim language.
  • Unclear terms remain uncertainty markers.

Failure and counterexamples

Do not infer broad protection from a title or abstract, and do not treat technical similarity as claim overlap.

Provenance map

  • `resolved: knowledge-acquisition-claim-analysis`
  • `resolved: quality-scoring`
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Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Python
Language
Apache-2.0
License
2h ago
Last commit
7mo ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine