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.