Install
openclaw skills install @linkfox-ai/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-ai/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 |
POST /zhihuiya/fulltextImage(完整参数/响应/错误码见 references/api.md)python scripts/zhihuiya_fulltext_image.py '<JSON 参数>' [--inline]输出策略(脚本默认行为):
<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-zhihuiya-fulltext-image-<timestamp>.json(<cwd> 为脚本执行时的工作目录,在 Claude Code 里即当前项目目录;<session> 取自环境变量 SESSION_ID,按用户任务自动聚合;禁止写入 /tmp,当前目录不可写则报错)total/costToken、最大列表字段的长度 + 前 3 条样本)--inline 强制全量打印到 stdout(同样落盘)读数据建议:先看摘要判断是否足够;需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取,避免整份 JSON 进入上下文。
发生以下异常情况时,采用 references/onboarding.md 引导解决问题:
LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。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:
消耗 81 积分。
用户会因积分消耗而支付费用。请充分评估:当需要高频调用本技能,或用户对积分消耗量预期不足时,务必提醒用户,由用户决定是否继续。
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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