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Agent Skill · 研究检索

linkfox-ruiguan-patent-design(Linkfox 锐冠专利设计)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

linkfox-ruiguan-patent-design 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 32,638。

总安装 2,493周安装 106GitHub Stars 公开资料未说明下载 873核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:linkfox-ruiguan-patent-design(Linkfox 锐冠专利设计)
来源仓库:https://github.com/linkfox-ai/linkfox-ruiguan-patent-design
安装命令:
openclaw skills install linkfox-ruiguan-patent-design
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install linkfox-ruiguan-patent-design

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

检测产品外观是否侵犯25+国家/地区的外观设计专利,提供图片专利相似度比对。适用于出口前专利筛查、TRO案件应对与设计创新保护,降低侵权下架风险。上传产品图后返回相关专利文献号与比对图示,支持高风险专利重点标注。专利数据库更新周期较长,新授权专利可能暂未入库,建议定期复查。

linkfox-ruiguan-patent-design 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install linkfox-ruiguan-patent-design;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

linkfox-ruiguan-patent-design 怎么安装?

在终端执行 openclaw skills install linkfox-ruiguan-patent-design。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

linkfox-ruiguan-patent-design 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

linkfox-ruiguan-patent-design 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

linkfox-ruiguan-patent-design 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

linkfox-ruiguan-patent-design 用的人多吗?

公开数据是累计安装 2,493 次,近一周安装 106 次,下载 873 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

linkfox-ruiguan-patent-design 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
linkfox-ruiguan-patent-design

Linkfox 锐冠专利设计 · 本页

2,493—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
linkfox-ruiguan-patent-design
description
基于睿观的外观专利侵权检测,支持25+国家/地区的图片专利检索。当用户提到外观专利检测、专利侵权检查、专利风险分析、TRO案件查询、外观设计专利搜索、设计专利相似度、产品专利排查、design patent detection, patent infringement, design patent, TRO cases, patent risk, patent search, Ruiguan时触发此技能。即使用户未明确提及"外观专利",只要其需求涉及检查产品图片是否可能侵犯已有的外观设计专利,或提到侵权、专利、TRO、外观专利等关键词,也应触发此技能。

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

ParameterRequiredDefaultDescription
imageUrlYes-Product image URL to check against the patent database
queryModeYeshybridSearch mode: physical (real product photo), line (line drawing), hybrid (combined)
topNumberYes100Number of patent results to return (max 100)
regionsNoUSCountry/region codes, comma-separated for multiple (e.g., US,EU,CN)
productTitleNo-Product title for supplementary context
productDescriptionNo-Product description for supplementary context
patentStatusNo1Patent validity: 1 (active), 0 (expired), 1,0 (both)
enableRadarNotrueEnable AI radar analysis for suspected infringement judgment
topLocNo-LOC level-1 codes to restrict search scope (e.g., 06,07). Omit to use auto-prediction
sourceLanguageNo-Source language code for translation (e.g., zh-CN). Leave empty if text is already in English

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

CodeCategory
01Food
02Clothing, haberdashery and sewing accessories
03Travel goods, cases, parasols and personal items n.e.c.
04Brushes
05Textiles, artificial and natural sheet material
06Furniture and household goods
07Household items n.e.c.
08Tools and hardware
09Packages and containers for transport or handling of goods
10Clocks, watches, measuring/checking/signaling instruments
11Ornamental articles
12Means of transport or hoisting
13Equipment for production, distribution or transformation of electricity
14Recording, telecommunication or data processing equipment
15Machines n.e.c.
16Photographic, cinematographic and optical apparatus
17Musical instruments
18Printing and office machinery
19Stationery, office equipment, art materials, teaching materials
20Sales and advertising equipment, signs
21Games, toys, tents and sports goods
22Arms, pyrotechnic articles, hunting/fishing/pest-killing articles
23Fluid distribution, sanitary, heating, ventilation, air-conditioning equipment, solid fuel
24Medical and laboratory equipment
25Building units and construction elements
26Lighting apparatus
27Tobacco and smoking supplies
28Pharmaceutical/cosmetic products, toilet articles and apparatus
29Devices and equipment against fire, for accident prevention and rescue
30Articles for care and handling of animals
31Machines and apparatus for preparing food or drink n.e.c.
32Graphic symbols, logos, surface patterns, ornamentation, interior/exterior arrangements
ALLAll categories

API Usage

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/ruiguan_detection_patent_design.py directly to run queries.

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:

User SaysScenario
"Check if this product infringes any design patents"Basic patent detection
"Patent risk check for this image"Image-based patent search
"Does this product have TRO risk"TRO enforcement history lookup
"Design patent search for US and EU"Multi-region patent detection
"Check appearance patent for this furniture"Category-specific patent search
"Is this product design safe to sell"Pre-listing patent clearance
"Find similar design patents"Similarity-based patent discovery
"Patent infringement analysis"Comprehensive patent risk report

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.

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.


*For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.*

平台分布

OpenClaw

84.28%
按下载量换算736

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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