quality-scoring

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/quality-scoring

Evaluates patent quality based on forward citations, family size, claim count, and geographic breadth

  • Identifies patents with high citation counts, large families, numerous claims, and broad geographical coverage.
  • Deploys patent metadata analysis through an integration with a patent database API.
  • Determines the overall quality of each patent by aggregating multiple quantitative indicators into a score.
  • Provides the evaluation results in a structured format for further processing or user consumption.

SKILL.md

.github/skills/quality-scoringView on GitHub ↗
---
name: quality-scoring
description: Multi-dimensional patent quality assessment — forward citations, family size, claim count, geographic breadth
execution: subagent
prompt: ./prompt.md
input: patent_metadata
used-by: patent-mining
---

# Quality Scoring

Performs multi-dimensional quality assessment of patents using quantitative indicators: forward citation count, family size, claim count, geographic breadth, and prosecution history.

More from yogsoth-ai/de-anthropocentric-research-engine

SkillDescription
abductive-hypothesis-generationStrategy: 面对异常的最佳解释推理
ablation-brainstormRemove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
ablation-component-mappingMap system architecture to ablatable units for ablation studies
ablation-designDesign ablation studies to isolate component contributions in ML systems
ablation-executionRemove components one by one from a system, record the response/impact of each removal.
abp-vulnerability-classificationClassify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
abstraction-ladderPerform bisociation at multiple abstraction levels
abstraction-ladderingMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
abstraction-to-designAbstract biological principle to design principle. Bridge from biology to engineering.