assess-prior-art-and-claims
SkillMonitoring & opsLets your agent assess patent claim novelty and prior art by breaking down claims and tracing patent families.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the assess-prior-art-and-claims skill
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
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
assess-prior-art-and-claims- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine