abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Assess novelty/prior art and claim scope by decomposing claims, tracing relevant families, and checking status/provenance.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-prior-art-and-claims --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/assess-prior-art-and-claimsContext preview
The summary Claude sees to decide when to auto-load this skill.
Assess novelty/prior art and claim scope by decomposing claims, tracing relevant families, and checking status/provenance.
name: assess-prior-art-and-claims description: "Assess novelty/prior art and claim scope by decomposing claims, tracing relevant families, and checking status/provenance."
Assess novelty, prior art, claim scope, legal-status observations, and provenance without making unsupported legal conclusions.
required: [claim_set, target_domain, jurisdiction_scope] optional: [known_families, search_context, evidence_records] constraints: [claim text and source provenance required, jurisdiction and observation date must be explicit]
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. You MUST load skill `parse-patent-claim` to parse independent and dependent claims and map elements to technical functions. 2. You MUST load skill `trace-patent-family` to trace priority, family, continuation, and citation relationships. 3. You MUST load skill `assess-patent-claim-scope` to assess breadth, limiting elements, overlap, and design-around vulnerability. 4. You MUST load skill `assess-patent-legal-status` to classify observed status by jurisdiction and date. 5. You MUST load skill `verify-evidence-independence` to check source independence before synthesizing novelty findings. If the retained claims expose absent feature combinations, consider `map-patent-white-space` as the next tactic.
Deviation: Skip status or independence checks only when the corresponding input is absent; record the omission as an open question. Do not infer legal status from an undated or single-source record.
produces: [claim_element_map, prior_art_family_map, scope_assessment, legal_status_observations, novelty_findings] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Do not call a claim novel because no result was found; mark search coverage and unresolved elements. Do not collapse related family members into one record when claim scope or jurisdiction differs.
| source | source line | kind | source criterion | |---|---:|---|---| | claim-analysis | 4435 | numeric/textual | Budget 30 families / 30 claim / 20 web; HARD-GATE. |
Append claim elements, family links, scope uncertainties, status observations, source-independence judgments, and unresolved search questions.
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.