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linkfox-zhihuiya-fulltext-image

linkfox-zhihuiya-fulltext-image

github.com/linkfox-aiDocuments113389 installsUpdated 2w ago
Repository

About linkfox-zhihuiya-fulltext-image

This skill retrieves figures, drawings, and diagrams from patent documents through Zhihuiya’s patent data service. Users can look up images by patent ID or publication number, retrieve them in pages, and view their types.

Key features

  1. 01Look up by patent ID or publication number
  2. 02Retrieve full-text image download paths
  3. 03Return image types and patent numbers
  4. 04Paginate results with limit and offset

Use cases

  1. 01View technical figures in a patent
  2. 02Retrieve patent images in batches
  3. 03Check image counts and types

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/linkfox-ai/linkfox-skills --skill linkfox-zhihuiya-fulltext-image

After installing, type/linkfox-zhihuiya-fulltext-imagein Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
api.md
onboarding.md
scripts/
onboarding.py
zhihuiya_fulltext_image.py

Details

From the project README

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

ParameterAPI NameRequiredDescriptionExample
Patent IDpatentIdNo*Internal patent identifier8a7b6c5d-...
Publication NumberpatentNumberNo*Public patent publication/grant numberUS20230012345A1
LimitlimitNoMaximum number of images to return (max 100, default 100)50
OffsetoffsetNoPagination offset for image results0

*At least one of patentId or patentNumber must be provided.

Response Fields

FieldDescription
totalTotal number of image records available
dataArray of image entries
data[].patentIdPatent identifier
data[].pnPublication/grant number
data[].fulltextImagePathURL path to download the image
data[].imageTypeType/category of the image
columnsColumn rendering metadata
costTokenToken cost of the request
typeRendering style hint

调用方式

  • API 端点:POST /zhihuiya/fulltextImage(完整参数/响应/错误码见 references/api.md)
  • Python 脚本:python scripts/zhihuiya_fulltext_image.py '<JSON 参数>' [--inline]
  • 成本约束:本工具会消耗算力;同一会话同一参数组合默认只调用一次,脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探;需要继续检索时先向用户说明会产生额外消耗。

输出策略(脚本默认行为):

  • 始终将完整响应写入 <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)
  • 响应体 ≤ 8 KB:落盘后把完整 JSON 打印到 stdout
  • 响应体 > 8 KB:落盘后 stdout 只输出摘要(顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 前 3 条样本)
  • 加 --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。

解决认证和算力问题

发生以下异常情况时,采用 references/onboarding.md 引导解决问题:

异常情况
  • 未配置API Key:环境变量未配置 LINKFOX_AGENT_API_KEY,也未配置 LINKFOXAGENT_API_KEY。
  • 响应401或402状态码
  • 响应提示算力或余额不足:消息含"算力余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值",或类似含义的内容。

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

  1. Present data clearly: Show image results in a structured table with image type, download path, and patent number
  2. Image links: Always present fulltextImagePath values as clickable links so users can view or download images directly
  3. Pagination notice: When total exceeds the number of returned results, inform the user that more images are available and offer to fetch the next page
  4. Error handling: When a query fails, explain the reason and suggest verifying the patent ID or publication number
  5. No fabrication: Never invent patent IDs, publication numbers, or image URLs -- only display data returned by the API
  6. 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 patentId or patentNumber must be supplied
  • All parameters are strings: Even numeric values like limit and offset must be passed as strings

User Expression & Scenario Quick Reference

Applicable -- Requests involving patent visual content:

User SaysScenario
"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

算力消耗规则

消耗 81 算力。

用户会因算力消耗而支付费用。请充分评估:当需要高频调用本技能,或用户对算力消耗量预期不足时,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:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. 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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