abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
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.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-patent-claim-scope --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/assess-patent-claim-scopeContext 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.
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 claim breadth, limiting elements, support, overlap, design-around vulnerability, and scope uncertainty without making a legal conclusion beyond the evidence.
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]
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.
produces: [element_scope_map, support_map, overlap_assessment, design_around_options, scope_uncertainties] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not infer broad protection from a title or abstract, and do not treat technical similarity as claim overlap.
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.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.