assess-patent-claim-scope
SkillSecurityLets your agent analyze a patent claim's breadth, limiting elements, and design-around risks.
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Details
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About 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.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/assess-patent-claim-scope/SKILL.md and read by ahel’s review.
Purpose
Assess claim breadth, limiting elements, support, overlap, design-around vulnerability, and scope uncertainty without making a legal conclusion beyond the evidence.
Input contract
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]
Procedure
- Separate mandatory, optional, functional, and contextual claim elements.
- Map each element to disclosed support and identify limiting combinations.
- Compare overlap and distinction against related claims and declared prior-art records.
- Record design-around paths and unresolved interpretation questions.
Output contract
produces: [element_scope_map, support_map, overlap_assessment, design_around_options, scope_uncertainties]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
Quality gates
- Mandatory elements and jurisdiction are explicit.
- Overlap claims cite the compared claim language.
- Unclear terms remain uncertainty markers.
Failure and counterexamples
Do not infer broad protection from a title or abstract, and do not treat technical similarity as claim overlap.
Provenance map
resolved: knowledge-acquisition-claim-analysisresolved: quality-scoring
Signals
- GitHub stars
- 503
- Forks
- 42
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
assess-patent-claim-scope- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine