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Agent Skill · 研究检索

patent-novelty-search(专利新颖性检索)

patent-novelty-search 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

patent-novelty-search 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 14,155。

总安装 8,784周安装 366GitHub Stars 公开资料未说明下载 2,928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:patent-novelty-search(专利新颖性检索)
来源仓库:https://github.com/chaochaosz/patent-novelty-search
安装命令:
openclaw skills install patent-novelty-search
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 patent-novelty-search

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。

执行专利新颖性搜索,比较技术方案与现有专利差异。适用于创新项目立项前的查新检索需求。输出相似度评分和规避建议报告。patent-novelty-search 属于研究检索类 Skill,可作为该场景下的辅助能力补充。需明确技术特征和关键词组合策略。注意非专利文献(NPL)也可能构成现有技术。

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 patent-novelty-search;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

    它需要操作浏览器,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

patent-novelty-search 怎么安装?

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

patent-novelty-search 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。

patent-novelty-search 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

patent-novelty-search 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。

patent-novelty-search 用的人多吗?

公开数据是累计安装 8,784 次,近一周安装 366 次,下载 2,928 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。

patent-novelty-search 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
patent-novelty-search

专利新颖性检索 · 本页

8,784—操作浏览器MIT-0通过

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

Patent Novelty Search Skill


name: novelty-search description: Execute the patent novelty search process, including technical solution analysis, patent retrieval, feature comparison, and novelty search report generation. This skill is used when users need to conduct patent novelty search, novelty analysis of technical solutions, retrieve related patents, and generate novelty search reports. It supports the complete process: input structured processing, technical feature extraction, patent retrieval (prioritizing Google Patents), similarity ranking, feature comparison table generation, novelty/inventive step comment, and finally output a novelty search report in Word format.


Patent Novelty Search Skill

Execute the complete patent novelty search process, from user input to generating a professional novelty search report.

When to Use

When users:

  • Mention "patent novelty search", "novelty search report", "novelty retrieval"
  • Need to analyze patent risks of technical solutions
  • Request to retrieve related patents and conduct comparative analysis
  • Require generating patent novelty search documents
  • Input technical solution descriptions and request evaluation of novelty or inventive step

Workflow

Step 1: User Input Structured Processing

Objective: Extract the core three elements from user input.

Processing Requirements:

  1. Technical Problem: Identify the technical problem to be solved by the user's solution.
  2. Technical Means: Extract specific technical means for implementing the technical solution.
  3. Technical Effect: Analyze the technical effects brought by the technical solution.

Notes:

  • Delete invalid, duplicate, and incorrect information.
  • Retain all valuable technical information.
  • Make reasonable inferences and supplements for vague descriptions.
  • Output a structured three-element table.

Output Format:

【Technical Problem】
Example: Tea contains a strong bitter and astringent taste that affects the taste, especially the presence of bitter components such as bitter amino acids and theophylline, leading to poor taste of tea soup.
...
【Technical Means】
Example: A tea processing technology includes the following steps: screening newly picked tea leaves with a sieve to select tea leaves with uniform size and remove pedicels; stir-frying green in an iron wok; inhibiting and inactivating enzyme activity in fresh leaves through the iron wok and heat control; manual twisting forward and backward 108 times; separating tea pedicels through three sieving processes; spreading the twisted tea leaves thinly; spreading the tea leaves thinly and naturally air-drying until the water loss rate is about 80%-85%, then re-polymerizing and transforming; releasing gas every Chen hour to expel the accumulated gas of the night and reintroduce fresh air to fully activate the tea's qi; undergoing natural fermentation of seven releases and seven accumulations to stabilize the tea qi after storage in a warehouse for 28 days; pressing the finished tea into cakes with mineral water with multiple minerals (special water treatment). Among them, the screened tea leaves are spread and air-dried at a place 1 meter above the ground on a well-ventilated tea sieve or tea mat to prevent secondary oxidation caused by ground heat entering the tea leaves; the stir-fried tea leaves are spread and air-dried for 3-6 days to make the water loss rate of the tea leaves about 35%-40%; drying with two sieves until the water content of the tea leaves is about 10% of the new leaves.
...
【Technical Effect】
Example: Through an orderly processing step, this technology fully reacts with bitter components in tea such as bitter amino acids and theophylline, thereby decomposing the bitter taste in tea and reducing the bitter and astringent taste to ensure the taste. Meanwhile, this technology retains various aromatic flavors of tea in nature and enhances the taste of brewed tea.
...

Note: Each of the three elements is a single paragraph and should not be split.

Step 2: Extract Technical Features

Objective: Disassemble technical means and extract technical features, which must be completely derived from the technical means.

Extraction Principles:

  1. The first technical feature must be the technical subject (e.g., a certain XX device, a certain XX method).
  2. The granularity of splitting should be reasonable:

- Too coarse: The technical feature is too long, making subsequent comparison difficult. - Too fine: It will split technical information and lead to inaccurate subsequent comparison.

  1. Each feature should be independent, complete, and comparable.
  2. Sort in the order of appearance in the technical means.

Output Format:

【Technical Feature List】
1. Technical Subject: [Technical subject description]
2. Technical Feature 2: [Feature description]
3. Technical Feature 3: [Feature description]
...

Step 3: Patent Retrieval

Objective: Retrieve related patents based on the three elements.

Retrieval Strategy:

Prioritize using the Google Patents website (patents.google.com):

  1. Use the browser_use tool to open Google Patents.
  2. Construct retrieval formulas:

- Keyword combination: Technical problem + technical means + technical effect - IPC classification number (if determinable) - Synonym expansion

  1. Execute retrieval and collect results.

If Google Patents is inaccessible:

  • Use other patent databases (e.g., Chinese Patent Publication Announcement Network, Espacenet, WIPO, etc.)
  • Or retrieve patent information through search engines.

Retrieval Requirements:

  • Retrieve at least 50 related patents (Note: Ensure the patent data is from actual retrieval).
  • Record basic information of each patent:

- Patent/publication number - Title - Applicant/patentee - Publication date - Abstract - IPC classification number

Output Retrieval Strategy Table

No. | Retrieval Step | Retrieval Strategy | Retrieval Results
1 | Semantic Retrieval | Semantic text | 5034
2 | Boolean Retrieval | Retrieval formula | 21
...

Step 4: Similarity Ranking

Objective: Evaluate and rank the retrieval results by similarity.

Evaluation Dimensions:

  1. Technical field similarity
  2. Technical problem similarity to be solved
  3. Technical means similarity
  4. Technical effect similarity

Ranking Method:

  • Conduct a comprehensive score (0-100 points) for each patent.
  • Sort from high to low by score.
  • Output the top 50 patent list.

Output Format:

No. | Similarity | Patent No. | Title | Applicant | Publication Date | IPC
----|--------|--------|------|--------|----------|-----
1 | ⭐⭐⭐ | CNxxx | xxx | xxx | 2024-01-01 | H01L
2 | ⭐⭐ | USxxx | xxx | xxx | 2023-06-15 | G06F
...

Similarity is displayed with 0-5 stars; the more stars, the higher the similarity.

Step 5: Feature Comparison Analysis

Objective: Conduct a detailed comparison of the top 3 patents with the highest similarity.

Extract Related Content of Prior Art Documents: For each technical feature, extract the content related to the feature from the prior art documents, and display the comparison result label under the related content in the feature comparison table.

Comparison Result Labels:

  1. Disclosed: The prior art document clearly records the technical feature.
  2. Common General Knowledge: The prior art document does not record it, but it belongs to common general knowledge in the field.
  3. Not Disclosed: The prior art document does not record it, and it is not common general knowledge.

Comparison Table Format:

Technical FeaturePrior Art Document 1 (Patent No.)Prior Art Document 2 (Patent No.)Prior Art Document 3 (Patent No.)
Feature 1 (Technical Subject)Related content / Disclosed / Common General Knowledge / Not DisclosedRelated content / Disclosed / Common General Knowledge / Not DisclosedRelated content / Disclosed / Common General Knowledge / Not Disclosed
Feature 2Related content / Disclosed / Common General Knowledge / Not DisclosedRelated content / Disclosed / Common General Knowledge / Not DisclosedRelated content / Disclosed / Common General Knowledge / Not Disclosed
............

Comparison Requirements:

  • Each judgment must be based on the specific content of the prior art document, strictly from the prior art.
  • Judgments of "Common General Knowledge" must state the reasons (standards, textbooks, conventional technologies, etc.).
  • The comparison should be objective and accurate.

Step 6: Novelty/Inventive Step Comment

Objective: Determine the patent type and write comments based on the comparison results.

Comment Types:

X Document (Novelty Comment):

  • A single prior art document discloses all technical features.
  • Comment Points: Explain which technical features are disclosed by the prior art document, and draw the conclusion that the user's solution lacks novelty.

X Document (Inventive Step Comment):

  • A single prior art document discloses part of the technical features.
  • The remaining technical features belong to common general knowledge.
  • Comment Points: Explain the disclosed part and common general knowledge part, and draw the conclusion that the user's solution lacks inventive step.

Y Document (Inventive Step Comment):

  • Multiple patents need to be combined to disclose or know all technical features.
  • Comment Points: Explain what is disclosed by Prior Art Document 1, what are the distinguishing technical features, what is disclosed by other prior art documents, and how to combine and the motivation for combination, and draw the conclusion that the user's solution lacks inventive step.

Comment Format:

【Prior Art Document X】Patent No.: xxx, Title: xxx

Comparative Analysis:
- Disclosed Technical Features: [List]
- Common General Knowledge Technical Features: [List]
- Undisclosed Technical Features: [List]

Conclusion: [X Document/Y Document] - [Novelty Comment/Inventive Step Comment]

Detailed Comment:
[Detailed comment content]

Step 7: Generate Novelty Search Report

Objective: Output a complete novelty search report (Word format).

Report Structure:

Patent Novelty Search Report

I. User Solution
   1. Technical Problem
   2. Technical Means
   3. Technical Effect

II. Technical Features
   [Technical Feature List]

III. Feature Comparison Table
   [Comparison Table]

IV. Novelty/Inventive Step Comment (If it is an X document, comment on a single document; if it is a Y document, comment on the combination of multiple documents)
   [Novelty Comment]
   [Inventive Step Comment]

V. Novelty Search Conclusion
   [Comprehensive Conclusion]

VI. Retrieval Strategy
   [Retrieval Strategy Table]

VII. Related Patent List
   [50 Patent List]

Disclaimer (Must be indicated on the first page of the report) Refer to 'references/disclaimer.md.'

Use docx skill to generate the report:

  1. Call the docx skill to create a Word document with professional formatting.
  2. Include a cover page, table of contents, and main text.
  3. Standardize table formatting.
  4. Save as a .docx file and provide it to the user.

Tool Usage

Browser Retrieval

Use the browser_use tool:
1. Open the Google Patents website: action=open, url=https://patents.google.com
2. Input retrieval formula: Enter the keyword combination in the search box.
3. Obtain results: Use snapshot to get page content.
4. Turn pages to obtain more results.

Document Generation

Use the docx skill:
1. Create the document structure.
2. Fill in content for each chapter.
3. Insert tables and formatting.
4. Save and provide the document to the user.

Notes

  1. Objectivity: All judgments must be based on evidence and avoid subjective assumptions.
  2. Accuracy: Patent information must be accurate and error-free.
  3. Completeness: The report must contain all necessary content.
  4. Professionalism: Use standardized patent terminology.
  5. Timeliness: Pay attention to the legal status of patents.

Error Handling

  • If Google Patents is inaccessible, automatically switch to other patent databases.
  • If the retrieval results are less than 50, state the reason and continue the analysis.
  • If there are disputes in feature comparison, record them truthfully and explain.
  • If common general knowledge cannot be determined, mark that further verification is required.

Quality Control

After completing each step: When starting execution, confirm the following checklist internally: Step 1: Generated three elements (technical problem/means/effect) Step 2: Extracted technical features (F1 is the technical subject, a total of N features) Step 3: Completed actual patent retrieval using web_search/web_fetch Step 4: Generated a sorted patent list (at least 10, preferably 50) Step 5: Generated a feature comparison table for D1/D2/D3 respectively (three dimensions: Disclosed/Common General Knowledge/Not Disclosed) Step 6: Generated novelty/inventive step comments based on the comparison results Step 7: Read the docx skill, generated a .docx report, and provided it to the user through present_files

Reference Documents

  • references/search-strategies.md: Retrieval strategies and keyword templates for common technical fields

平台分布

OpenClaw

94.7%
按下载量换算2,773

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。目前只有一个公开来源,建议同时核对源仓库。

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