assess-prior-art-and-claims
SkillMonitoring & opsLets your agent assess patent claim novelty and prior art by breaking down claims and tracing patent families.
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Details
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About this skill
Assess novelty/prior art and claim scope by decomposing claims, tracing relevant families, and checking status/provenance.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/assess-prior-art-and-claims/SKILL.md and read by Ahel’s review.
Purpose
Assess novelty, prior art, claim scope, legal-status observations, and provenance without making unsupported legal conclusions.
Input contract
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]
Execution protocol
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
- You MUST load skill
parse-patent-claimto parse independent and dependent claims and map elements to technical functions. - You MUST load skill
trace-patent-familyto trace priority, family, continuation, and citation relationships. - You MUST load skill
assess-patent-claim-scopeto assess breadth, limiting elements, overlap, and design-around vulnerability. - You MUST load skill
assess-patent-legal-statusto classify observed status by jurisdiction and date. - You MUST load skill
verify-evidence-independenceto check source independence before synthesizing novelty findings. If the retained claims expose absent feature combinations, considermap-patent-white-spaceas 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.
Output contract
produces: [claim_element_map, prior_art_family_map, scope_assessment, legal_status_observations, novelty_findings]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Thresholds and quality gates
- Every claim element must map to a cited source or be marked unsupported.
- Any acquisition threshold must use a declared eligible family/source universe and relative coverage, not a fixed historical count.
- Status observations require jurisdiction, observation date, source, and uncertainty.
Failure and counterexamples
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.
Provenance map
resolved: prior-art-searchresolved: knowledge-acquisition-claim-analysisresolved: knowledge-acquisition-claim-decompositionresolved: claim-parsingresolved: legal-status-assessment
Preserved source criteria ledger
| source | source line | kind | source criterion |
|---|---|---|---|
| claim-analysis | 4435 | numeric/textual | Budget 30 families / 30 claim / 20 web; HARD-GATE. |
Context checkpoint / Delta notes
Append claim elements, family links, scope uncertainties, status observations, source-independence judgments, and unresolved search questions.
Signals
- GitHub stars
- 503
- Forks
- 42
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
assess-prior-art-and-claims- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine
github.com/yogsoth-ai/de-anthropocentric-research-engine
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