Can this skill search for existing patents?

No, this skill is for internal concept analysis. To search existing implementations, it is recommended to use a companion tool like patent-validator.

What is the Abstraction Principle (JB-2)?

It is a methodology used by the skill to focus on what an invention 'is' rather than just how it is implemented, ensuring the identified patterns are broad enough to cover potential variations.

How does the skill handle my private data?

Patent Scanner operates entirely locally. It does not transmit your concept descriptions, analysis results, or any other sensitive data to external services.

What does a score of 8 or higher mean?

A total score of 8 or higher across the four dimensions (Distinctiveness, Sophistication, System Impact, and Frame Shift) indicates a strong distinctive signal that warrants deeper investigation or professional consultation.

Is Patent Scanner providing legal advice?

No. This skill provides technical analysis based on a structured recombination framework. It identifies distinctive aspects but does not constitute a legal patentability assessment or freedom-to-operate opinion.

Patent Concept Scanner

Name: Patent Concept Scanner
Author: dvcrn

bydvcrn

•

Productivity & Workflow

Analyzes technical concepts to identify distinctive patterns and structural components for potential patent consultation.

Patent Concept Scanner is a specialized tool designed to help developers and inventors deconstruct their technical ideas into structured, high-level abstractions. Based on the methodology of patent attorney John Branch, it evaluates distinctiveness, technical sophistication, and system impact to identify patterns that warrant deeper investigation. By abstracting implementation details into broad conceptual frameworks, it helps users articulate the 'why' and 'how' of their inventions, facilitating better preparation for professional intellectual property consultation while ensuring data privacy through local processing.

Key Features

013 GitHub stars

02Problem-Solution-Benefit (JB-1) mapping for clear technical value articulation.

03Privacy-first local analysis with no external data transmission or file modification.

04Generation of Method, System, and Apparatus claim angles for high-scoring patterns.

05Automated 'Lossy Abstraction' to shift focus from implementation to invention.

06Multi-dimensional scoring of distinctiveness, sophistication, and system impact.

Use Cases

01Preparing structured documentation and evidence for meetings with patent attorneys.

02Identifying unique architectural patterns within a complex software project.

03Evaluating the conceptual breadth of a technical solution to avoid overly narrow descriptions.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace patent-scanner

For use in Claude.ai and ChatGPT

Key Features

013 GitHub stars

02Problem-Solution-Benefit (JB-1) mapping for clear technical value articulation.

03Privacy-first local analysis with no external data transmission or file modification.

04Generation of Method, System, and Apparatus claim angles for high-scoring patterns.

05Automated 'Lossy Abstraction' to shift focus from implementation to invention.

06Multi-dimensional scoring of distinctiveness, sophistication, and system impact.

Use Cases

01Preparing structured documentation and evidence for meetings with patent attorneys.

02Identifying unique architectural patterns within a complex software project.

03Evaluating the conceptual breadth of a technical solution to avoid overly narrow descriptions.