Zhihuiya Patent Description Data for Openclaw

A professional tool for retrieving technical patent specifications and detailed technical descriptions directly from the Zhihuiya database.

linkfox-ai
v1.0.0
Apr 2, 2026
0
346
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install linkfox-zhihuiya-description

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install linkfox-zhihuiya-description using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Zhihuiya Patent Description Data?

The Zhihuiya Patent Description Data skill is a high-performance utility designed to fetch full-text patent specifications. It bridges the gap between raw patent IDs and the deep technical disclosures required by researchers, engineers, and legal professionals. By tapping into the extensive Zhihuiya database, this Openclaw Skills integration provides the technical background, summary, and detailed embodiments of inventions.

Whether you are conducting a deep dive into a competitor's technology or verifying the technical scope of an existing filing, this skill ensures you receive structured and faithful technical data. It is optimized for both individual lookups and high-volume batch processing of up to 100 patents per request.

Zhihuiya Patent Description Data Use Cases

  • Retrieving the full technical specification for a specific publication number (e.g., CN115099012A).
  • Performing batch retrieval of technical descriptions for a list of patent IDs during due diligence.
  • Accessing related family member descriptions when a primary patent's full text is unavailable.
  • Reviewing technical embodiments and implementation details for engineering research.

How Zhihuiya Patent Description Data Works

  1. The user provides a patent identifier, either as a publication number or an internal patent ID.
  2. The skill prioritizes the internal patent ID if both are provided to ensure maximum accuracy.
  3. A request is sent to the Zhihuiya database via the LinkFox tool gateway.
  4. If the primary patent description is missing, the system checks the replaceByRelated parameter to determine if a family member's description should be substituted.
  5. The tool returns a structured JSON response containing the full description sections and cost tokens used.
  6. The AI agent formats the technical content into readable sections with clear headings for the user.

Zhihuiya Patent Description Data Setup

To integrate this capability into your workflow, ensure your environment is configured for Openclaw Skills and use the following script for direct execution:

# Direct execution of the query script
python scripts/zhihuiya_description_data.py --patentNumber "CN115099012A"

Ensure your API credentials for the LinkFox tool gateway are set in your environment variables.

Zhihuiya Patent Description Data Data Schema & Taxonomy

The skill returns data in a structured format to maintain technical integrity. Below is the primary schema for the response data:

Field Type Description
total integer Total number of records retrieved
data.patentId string The unique internal identifier for the patent
data.pn string The official publication number
data.description array Ordered sections of the patent specification
costToken integer Token consumption for the specific query

All description content is returned as an array of strings to preserve the original document hierarchy.

Zhihuiya Patent Description Data Advanced Features

  • Batch Processing: Supports up to 100 concurrent patent lookups in a single API call for high-efficiency research.
  • Family Substitution: Automatic fallback to related family patent descriptions (pnRelated) when the primary record is incomplete.
  • Intelligent Priority: Built-in logic to prioritize patentId over patentNumber for higher resolution accuracy.
  • Rendering Hints: Includes specific display style hints to help AI agents present long technical documents effectively.

SKILL.md


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