Install
openclaw skills install linkfox-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, patent images, PatSnap时触发此技能。即使用户未明确提及"全文附图",只要其需求涉及获取特定专利中的视觉内容(图纸、示意图、图表),也应触发此技能。
openclaw skills install linkfox-zhihuiya-fulltext-imageThis 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.
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 | 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.
| 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 |
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.
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"}
fulltextImagePath values as clickable links so users can view or download images directlytotal exceeds the number of returned results, inform the user that more images are available and offer to fetch the next pagepatentId or patentNumber must be suppliedlimit and offset must be passed as stringsApplicable -- 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:
Feedback:
Auto-detect and report feedback via the Feedback API when any of the following apply:
Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.
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