Linkfox Zhihuiya Patent Image Search

Zhihuiya Patent Image Search

This skill guides you on how to perform image-based patent similarity searches using the Zhihuiya patent database, helping users identify potentially similar design patents. This skill supports design patents only; for utility model patents use linkfox-zhihuiya-utility-patent-image-search.

Core Concepts

Patent Image Search uses visual AI models to compare a given product or design image against a global patent image database. It returns a ranked list of similar patents, enabling users to evaluate infringement risks or conduct prior-art research.

This skill supports design patents only:

Search models for design patents:

Utility model patents (model 3/4) are not supported by this skill. Use linkfox-zhihuiya-utility-patent-image-search instead.

Scoring logic: A higher score value means greater visual similarity. When presenting results, sort by score in descending order (highest similarity first) so users can prioritize the most relevant patents for review.

Parameter Guide

Required Parameters

Common Optional Parameters

Commonly Used Country Codes

调用方式

• API 端点：POST /zhihuiya/patentImageSearch（完整参数/响应/错误码见 references/api.md）
• Python 脚本：python scripts/zhihuiya_patent_image_search.py '<JSON 参数>' [--inline]
• 成本约束：本工具会消耗积分；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-patent-image-search-<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。

解决认证和积分问题

发生以下异常情况时，采用以下措施来处理：

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
• 响应提示积分或余额不足：消息含"积分余额不足/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。

措施

• 优先采用skill内的 onboarding.md 引导解决问题。
• 如找不到 onboarding.md 文件，则加载 /linkfox-onboarding 这个skill并根据它的引导来处理。如未安装请先安装：
  • 下载 https://agent-files.linkfox.com/skills/linkfox-onboarding/release.zip，解压后安装这个skill。如需用户授权才可下载，要询问用户获得授权，你不能自己放弃下载。
• 兜底措施：仅当前面两个措施经过所有努力都走不通时，才提示用户依据 https://skill.linkfox.com/linkfoxskills/guide.htm 指引获取API Key，或去 https://os.linkfox.com/ 补充积分。

Local Image Upload

This tool requires a publicly accessible image URL. If the user provides a local image file path (e.g., C:\Users\...\photo.png, /home/.../image.jpg), you must upload it first to obtain a public URL.

Run the upload script:

python scripts/upload_image.py /path/to/local/image.png

The script will return a public URL (valid for 24 hours) that can be used as the image URL parameter.

Usage Examples

1. Basic design patent search (recommended starting point) Search for design patents similar to a product image across all countries:

{
  "url": "https://example.com/my-product.jpg",
  "patentType": "D",
  "model": 1,
  "limit": 20
}

2. Design patent search limited to specific countries Search only in China and the United States:

{
  "url": "https://example.com/my-product.jpg",
  "patentType": "D",
  "model": 1,
  "country": "CN,US",
  "limit": 20
}

3. Search with Locarno classification filter Narrow results to a specific product category (e.g., LOC 07-01 for tableware):

{
  "url": "https://example.com/my-product.jpg",
  "patentType": "D",
  "model": 1,
  "loc": "07-01",
  "preFilter": 1,
  "limit": 20
}

4. Search only active patents within a date range Find active design patents filed after 2020:

{
  "url": "https://example.com/my-product.jpg",
  "patentType": "D",
  "model": 1,
  "simpleLegalStatus": "1",
  "applyStartTime": "20200101",
  "limit": 30
}

5. Search by specific assignee Find patents held by a particular company:

{
  "url": "https://example.com/my-product.jpg",
  "patentType": "D",
  "model": 1,
  "assignees": "Apple Inc.",
  "limit": 20
}

6. Get results with Chinese-translated titles

{
  "url": "https://example.com/my-product.jpg",
  "patentType": "D",
  "model": 1,
  "lang": "cn",
  "limit": 20
}

Display Rules

1. Sort by score: Always sort results by score in descending order (highest similarity first) to help users quickly identify the most relevant infringement risks.

2. Show complete details: When summarizing results or generating reports, include ALL of the following for each patent -- do NOT omit or abbreviate:

   • Application number (apno)
   • Patent title in Chinese (use lang: cn or provide translation)
   • Inventor (inventor)
   • Patent drawing (the matched url image)
   • Every patent image in the image list
   • Patent abstract
   • Patent description
   • LOC classification information (loc)
   • Radar result (radarResult) if available
   • Patent specification

3. Legal disclaimer: Always append a friendly reminder at the end of results:

   This search result was generated by LinkfoxAgent. It is recommended to consult a professional patent attorney for legal advice.

4. Score explanation: Remind users that the score represents visual similarity -- a higher score indicates a closer match, but does not constitute a legal determination of infringement.

5. Pagination guidance: When the total count exceeds the returned results, inform users about the total number of matching patents and guide them to use offset and limit for additional pages.

6. Error handling: When a query fails, explain the reason and suggest adjustments (e.g., verify the image URL is publicly accessible, check country codes, adjust date formats).

User Expression & Scenario Quick Reference

Applicable -- Image-based patent similarity searches:

Not applicable -- Needs beyond patent image search:

• Text-based patent search (keyword/abstract/claim search)
• Patent legal status monitoring or annuity management
• Patent valuation or licensing negotiation
• Freedom-to-operate (FTO) legal opinions
• Patent family or citation analysis

积分消耗规则

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:

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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