Linkfox Ruiguan Detection Patent Design

Ruiguan Design Patent Detection

This skill guides you on how to perform design patent infringement detection using the Ruiguan engine, helping e-commerce sellers and IP professionals identify potential design patent risks before listing products.

Core Concepts

Design patent detection compares a product image against a global design patent database using visual similarity algorithms. The system returns patents ranked by similarity score, along with TRO (Temporary Restraining Order) litigation history, helping users assess infringement risk.

Similarity score: A value between 0 and 1. Higher values indicate greater visual resemblance to the patent drawing. Patents with similarity >= 0.7 or those flagged with TRO enforcement history deserve special attention and should be reviewed carefully.

Radar analysis: When radar is enabled, each patent result includes a radarResult with a same flag (suspected infringement: true/false) and an exp field (explanation). This provides an AI-powered judgment beyond raw similarity.

LOC classification: The Locarno Classification (LOC) is an international system for categorizing industrial designs. You can optionally specify LOC codes to narrow the search scope, or leave it unset to let the model predict the appropriate categories automatically.

Parameters Guide

Supported Regions

US (United States), EU (European Union), CN (China), JP (Japan), KR (South Korea), DE (Germany), GB (United Kingdom), FR (France), IT (Italy), AU (Australia), CA (Canada), BR (Brazil), MX (Mexico), IN (India), TH (Thailand), SE (Sweden), CH (Switzerland), IE (Ireland), IL (Israel), DK (Denmark), NZ (New Zealand), AT (Austria), BX (Bolivia), FI (Finland), WO (WIPO)

Default region is US. Use US when the user does not specify a region.

LOC Level-1 Categories

调用方式

• API 端点：POST /ruiguan/detectionPatentDesign（完整参数/响应/错误码见 references/api.md）
• Python 脚本：python scripts/ruiguan_detection_patent_design.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-ruiguan-detection-patent-design-<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。

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 patent check for a product image (US market)

{
  "imageUrl": "https://example.com/product.jpg",
  "queryMode": "hybrid",
  "topNumber": 50,
  "regions": "US"
}

2. Multi-region check with product context

{
  "imageUrl": "https://example.com/product.jpg",
  "queryMode": "physical",
  "topNumber": 100,
  "regions": "US,EU,CN",
  "productTitle": "Portable Wireless Charger Stand",
  "productDescription": "A foldable wireless charging stand for smartphones",
  "enableRadar": true
}

3. Narrowed search using LOC classification (furniture)

{
  "imageUrl": "https://example.com/chair.jpg",
  "queryMode": "hybrid",
  "topNumber": 80,
  "regions": "US,DE",
  "topLoc": "06",
  "patentStatus": "1"
}

4. Line drawing mode for sketch-based search

{
  "imageUrl": "https://example.com/sketch.png",
  "queryMode": "line",
  "topNumber": 50,
  "regions": "CN,JP,KR"
}

5. Check both active and expired patents

{
  "imageUrl": "https://example.com/product.jpg",
  "queryMode": "hybrid",
  "topNumber": 100,
  "regions": "US",
  "patentStatus": "1,0"
}

Display Rules

1. High-risk patent highlighting: When generating summaries or reports, display ALL patents with similarity >= 0.7 or troCase = true in full detail. For each such patent, include: application number, patent title (Chinese), inventors, TRO enforcement history, the most-similar patent drawing, every image in the patent image list, patent abstract, patent specification, LOC info, radar analysis result, and specification text. This detailed presentation is critically important -- do NOT abbreviate or omit these fields.
2. Disclaimer: Always append a friendly reminder at the end: "This detection result is generated by LinkfoxAgent. It is recommended to consult a professional IP attorney for legal advice."
3. Similarity interpretation: Clearly explain that higher similarity scores indicate greater visual resemblance and higher infringement risk.
4. Radar result display: When radarResult.same is true, prominently flag the patent as a suspected infringement match and display the exp explanation.
5. TRO warning: Patents with troCase = true or troHolder = true should be highlighted with a warning, as they indicate the patent holder has a history of active enforcement via Temporary Restraining Orders.
6. Image display: Show both patentImageUrl (the most similar patent drawing) and the full images list so users can visually compare their product against all patent drawings.
7. Error handling: When a request fails, explain the issue and suggest corrective actions (e.g., check image URL accessibility, verify region codes).
8. Present data faithfully: Show query results as-is without adding subjective legal conclusions beyond the tool's own analysis.

User Expression & Scenario Quick Reference

Applicable -- Design patent risk assessment:

Not applicable -- Needs beyond design patent detection:

• Utility patent or invention patent searches
• Trademark infringement checks
• Copyright/DMCA issues
• Legal case management or litigation strategy
• Patent application or filing assistance
• Product listing optimization or pricing

Boundary judgment: When users mention "patent check" or "IP risk", if the concern is about product appearance/design similarity to existing patents, this skill applies. If they are asking about utility patents, trademarks, copyrights, or need actual legal counsel, this skill does not apply.

算力消耗规则

雷达检测开启消耗 106 算力，未开启消耗 71 算力。

重要：本技能消耗大量算力，如果调用次数超过5次，必须用AskUserQuestion 和用户进行二次确认，要明确告知用户已消耗算力和继续调用的话预计消耗的算力，让用户自行决定是否继续。

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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