patent-novelty-check

Assess invention novelty and non-obviousness against prior art references.

Updated Jul 6, 2026
One-click install
npx skills add https://github.com/caw111/2026-SoftwareCup --skill patent-novelty-check-caw111
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: patent-novelty-check
Source: https://github.com/caw111/2026-SoftwareCup/tree/main/.agents/skills/patent-novelty-check
Command: npx skills add https://github.com/caw111/2026-SoftwareCup --skill patent-novelty-check-caw111

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, numpy, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps to determine the novelty and non-obviousness of an invention, comparing it against existing prior art.

Core Features & Use Cases

  • Patentability Assessment: Evaluate if an invention meets legal standards for patentability.
  • Novelty and Non-Obviousness: Analyze against a set of prior art references.
  • Cross-Model Examiner Verification: Use advanced models to ensure thorough analysis.
  • Jurisdiction-Specific Analysis: Tailored reports for different patent jurisdictions.

Quick Start

Assess the patentability of an invention using 'patent-novelty-check [invention description or brief path]'.

Frequently Asked Questions about patent-novelty-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess patent novelty and non-obviousness against prior art?▼

This skill evaluates patent novelty and non-obviousness by analyzing an invention description against prior art references using legal patentability standards. It generates jurisdiction-specific reports and uses cross-model examiner verification to ensure thorough analysis.

What is the process for conducting a prior art analysis for patentability?▼

Prior art analysis for patentability involves comparing your invention against existing references to check for novelty and non-obviousness. The process applies legal patentability standards and cross-model verification to ensure precise evaluation across different patent jurisdictions.

Can I use Python and pandas to evaluate an invention's patentability?▼

Yes, this skill requires Python, numpy, and pandas to evaluate an invention's patentability. It processes invention descriptions and prior art references to determine novelty and non-obviousness, generating jurisdiction-specific assessment reports.

Does the patentability assessment support different patent jurisdictions?▼

Yes, the patentability assessment provides jurisdiction-specific analysis tailored to different patent jurisdictions. It evaluates novelty and non-obviousness against prior art references according to the specific legal standards of each jurisdiction.

What are the limitations of automated patent novelty checks?▼

Automated patent novelty checks are limited by the scope of provided prior art references and require specialized model verification for thorough analysis. They assess novelty and non-obviousness but cannot replace formal legal examination by a patent office.

How do I start a patentability assessment for my invention?▼

To start a patentability assessment, provide your invention description to the skill. It will evaluate the invention's novelty and non-obviousness against prior art references, applying legal patentability standards to generate a detailed report.