Zhihuiya Fulltext Image
/install linkfox-zhihuiya-fulltext-image
Zhihuiya Patent Fulltext Image
This skill guides you on how to retrieve fulltext images (drawings, figures, diagrams) from patent documents using the Zhihuiya patent data service, helping users access and analyze visual content within patents.
Core Concepts
Patent fulltext images are the figures, drawings, and diagrams embedded in patent documents. They are essential for understanding the technical details of an invention. This tool queries the Zhihuiya patent database and returns image metadata including download paths and image types for a given patent.
Lookup methods: You can look up images by either patent ID (an internal identifier) or publication number (the publicly visible patent number such as US20230012345A1 or CN115000000A). At least one of these must be provided.
Parameter Guide
| Parameter | API Name | Required | Description | Example |
|---|---|---|---|---|
| Patent ID | patentId | No* | Internal patent identifier | 8a7b6c5d-... |
| Publication Number | patentNumber | No* | Public patent publication/grant number | US20230012345A1 |
| Limit | limit | No | Maximum number of images to return (max 100, default 100) | 50 |
| Offset | offset | No | Pagination offset for image results | 0 |
*At least one of
patentIdorpatentNumbermust be provided.
Response Fields
| Field | Description |
|---|---|
| total | Total number of image records available |
| data | Array of image entries |
| data[].patentId | Patent identifier |
| data[].pn | Publication/grant number |
| data[].fulltextImagePath | URL path to download the image |
| data[].imageType | Type/category of the image |
| columns | Column rendering metadata |
| costToken | Token cost of the request |
| type | Rendering style hint |
API Usage
This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/zhihuiya_fulltext_image.py directly to run queries.
Usage Examples
1. Get all images for a patent by publication number
Retrieve fulltext images for patent US20230012345A1.
Parameters: {"patentNumber": "US20230012345A1"}
2. Get images for a patent by patent ID
Fetch the drawings for patent ID abc123def456.
Parameters: {"patentId": "abc123def456"}
3. Paginated retrieval of images
Get the first 20 images for patent CN115000000A.
Parameters: {"patentNumber": "CN115000000A", "limit": "20", "offset": "0"}
4. Get the next page of images
Get images 21-40 for patent CN115000000A.
Parameters: {"patentNumber": "CN115000000A", "limit": "20", "offset": "20"}
Display Rules
- Present data clearly: Show image results in a structured table with image type, download path, and patent number
- Image links: Always present
fulltextImagePathvalues as clickable links so users can view or download images directly - Pagination notice: When
totalexceeds the number of returned results, inform the user that more images are available and offer to fetch the next page - Error handling: When a query fails, explain the reason and suggest verifying the patent ID or publication number
- No fabrication: Never invent patent IDs, publication numbers, or image URLs -- only display data returned by the API
- Total count: Always mention the total number of images available for the patent
Important Limitations
- Image limit: Each request returns a maximum of 100 images
- Identifier required: At least one of
patentIdorpatentNumbermust be supplied - All parameters are strings: Even numeric values like
limitandoffsetmust be passed as strings
User Expression & Scenario Quick Reference
Applicable -- Requests involving patent visual content:
| User Says | Scenario |
|---|---|
| "Show me the drawings for patent XX" | Fulltext image retrieval |
| "Get the figures from this patent" | Fulltext image retrieval |
| "Download patent images for XX" | Fulltext image retrieval |
| "What diagrams does patent XX contain" | Fulltext image listing |
| "How many figures are in patent XX" | Image count query |
| "Show me the technical drawings" | Fulltext image retrieval |
Not applicable -- Needs beyond patent fulltext images:
- Patent text/abstract/claims search
- Patent family or citation analysis
- Patent legal status queries
- Patent assignee or inventor search
- General image search unrelated to patents
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
- The functionality or purpose described in this skill does not match actual behavior
- The skill's results do not match the user's intent
- The user expresses dissatisfaction or praise about this skill
- Anything you believe could be improved
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
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- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install linkfox-zhihuiya-fulltext-image - After installation, invoke the skill by name or use
/linkfox-zhihuiya-fulltext-image - Provide required inputs per the skill's parameter spec and get structured output
What is Zhihuiya Fulltext Image?
通过专利ID或公开号获取专利文件中的全文附图(图纸、示意图、图表)。当用户询问专利图片、专利图纸、专利示意图、专利插图、全文附图、专利图表、专利技术图或想查看、下载专利文件中的嵌入图片、patent fulltext drawings, patent diagrams, technical drawings, p... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install Zhihuiya Fulltext Image?
Run "/install linkfox-zhihuiya-fulltext-image" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Zhihuiya Fulltext Image free?
Yes, Zhihuiya Fulltext Image is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Zhihuiya Fulltext Image support?
Zhihuiya Fulltext Image is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Zhihuiya Fulltext Image?
It is built and maintained by linkfox-ai (@linkfox-ai); the current version is v1.0.0.