assess-patent-legal-status
SkillDev toolsLets your agent classify a patent's legal status by jurisdiction and date, flagging uncertainty and conflicting sources.
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-patent-legal-status skill
About this skill
Classify observed patent/legal status and flag uncertainty or jurisdiction dependence.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/assess-patent-legal-status/SKILL.md and read by ahel’s review.
Purpose
Classify observed patent status by jurisdiction and observation date while preserving uncertainty and source dependence.
Input contract
required: [patent_record, jurisdiction, observation_date, status_sources]
optional: [family_events, prosecution_events]
constraints: [status is an observation tied to dated sources, not an undated legal inference]
Procedure
- Normalize application, publication, grant, lapse, expiration, and abandonment events.
- Align events to jurisdiction and observation date.
- Reconcile conflicting source observations and preserve the disagreement.
- Emit status, confidence, and unresolved legal-status questions.
Output contract
produces: [status_timeline, jurisdiction_status, source_reconciliation, status_uncertainties]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]
Quality gates
- Every status is dated and jurisdiction-scoped.
- Conflicts retain both source records and a reconciliation note.
Failure and counterexamples
Do not infer current validity from a filing event alone or transfer one jurisdiction's status to another.
Provenance map
resolved: knowledge-acquisition-legal-status-assessment
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
assess-patent-legal-status- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine