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prior-art-search现有技术检索

Agent Skill

prior-art-search 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

总安装

832

周安装

34

GitHub Stars

7,796

下载量

269
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:prior-art-search(现有技术检索)
来源仓库:https://github.com/wanshuiyin/auto-claude-code-research-in-sleep
仓库路径:skills/prior-art-search
安装命令:
npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill prior-art-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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/wanshuiyin/auto-claude-code-research-in-sleep --skill prior-art-search

简介

用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态及是否会触发联网、命令执行或文件读写。
  • prior-art-search 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Prior Art Search

Search patents and literature for prior art relevant to: $ARGUMENTS

Adapted from /research-lit for patent-specific searching.

Constants

  • MAX_PATENT_RESULTS = 20 — Maximum patent documents to analyze in detail
  • MAX_PAPER_RESULTS = 15 — Maximum academic papers to analyze in detail
  • SEARCH_YEARS = 10 — How many years back to search
  • PATENT_DATABASES = "google-patents, espacenet" — Patent databases to search

Inputs

Read the invention description from:

  1. $ARGUMENTS if it contains technical details
  2. patent/INVENTION_BRIEF.md if it exists
  3. INVENTION_BRIEF.md if it exists at project root

Shared References

Load ../shared-references/prior-art-databases.md for search strategy templates and IPC/CPC classification guidance.

Workflow

Step 1: Extract Search Concepts

From the invention description, identify:

  1. Core inventive concept: The primary technical contribution (1-2 sentences)
  2. Technical problem: What problem it solves
  3. Key technical features: 4-6 specific technical elements that define the invention
  4. IPC/CPC classes: Predict relevant classification codes (e.g., G06N, G06F)

Step 2: Patent Search

For EACH search concept, search via:

Google Patents (via WebSearch):

WebSearch: "site:patents.google.com [keywords]"
WebSearch: "[keywords] patent"
  • Try primary keywords + technical problem keywords
  • Search in English regardless of target jurisdiction
  • For CN inventions, also search Chinese keywords via WebSearch

Espacenet (via WebFetch):

  • WebFetch worldwide.espacenet.com/search results for key queries
  • Search by predicted IPC/CPC classes

Assignee/Inventor Search:

  • If known companies/universities work in this area, search their patent portfolios
  • WebSearch: "[assignee name] patent [technical area]"

For each potentially relevant patent found:

  • WebFetch the patent page to extract: title, abstract, representative claims, filing date, assignee, current status
  • Record IPC/CPC classification codes

Step 3: Academic Literature Search

Search the same concepts in academic databases:

  1. Google Scholar (via WebSearch): WebSearch "[keywords] site:scholar.google.com"
  2. arXiv (via /arxiv if available, or WebSearch): Search for preprints
  3. Semantic Scholar (via /semantic-scholar if API key set, or WebSearch)

For each relevant paper found:

  • Extract title, authors, venue, year, key contribution

Step 4: Classification and Analysis

For each reference found, assess:

  1. Relevance: How closely does it relate to the invention?
  2. Overlap Risk: Does it disclose the same or similar technical solution?

- HIGH: Anticipates one or more claim elements - MEDIUM: Discloses a related but different approach - LOW: Same general field, different approach

  1. Relationship: Is it anticipating, relevant, or merely background?

Organize results by IPC/CPC classification to see the technical landscape.

Step 5: Freedom-to-Operate Assessment (Preliminary)

Based on the search results:

  • Identify patents with claims that potentially cover the invention
  • Note any expired patents (public domain)
  • Flag areas where claim scope overlap is significant

Disclaimer: This is a preliminary assessment only. A professional freedom-to-operate analysis by a patent attorney is recommended before filing.

Step 6: Output

Write patent/PRIOR_ART_REPORT.md with:

## Prior Art Search Report

### Invention Summary
[1-2 sentence description of the searched invention]

### Search Strategy
- Keywords used: [...]
- IPC/CPC classes searched: [...]
- Databases searched: Google Patents, Espacenet, Google Scholar, arXiv
- Date range: [year] to present

### Patent References Found

| # | Patent No. | Title | Date | Assignee | IPC/CPC | Key Teaching | Overlap Risk |
|---|-----------|-------|------|----------|---------|-------------|-------------|
| 1 | CN... / US... | [title] | [date] | [assignee] | [codes] | [2-3 sentences] | HIGH/MEDIUM/LOW |

### Non-Patent Literature Found

| # | Reference | Title | Authors/Venue | Year | Key Contribution | Relevance |
|---|-----------|-------|--------------|------|-----------------|-----------|
| 1 | [DOI/link] | [title] | [authors] | [year] | [1-2 sentences] | HIGH/MEDIUM/LOW |

### Prior Art Landscape
[Organized by technical approach or IPC class, not just chronological]

### Freedom-to-Operate Preliminary Assessment
[Which existing patents might block the invention? What is the risk level?]

### Recommendations
- Suggested claim scope adjustments based on prior art
- Areas where novelty appears strongest
- References to watch during prosecution

Key Rules

  • Never fabricate patent numbers or citations. Mark uncertain references with [VERIFY].
  • Search in English AND the target jurisdiction language (Chinese for CN).
  • Patent prior art includes everything published before the priority date, not just patents.
  • Academic papers are valid prior art for both novelty and inventive step.
  • Include expired patents -- they are public domain but still relevant for novelty.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

31.82%
按下载量换算86

Claude

30.48%
按下载量换算82

Cursor

19.66%
按下载量换算53

Gemini CLI

10.11%
按下载量换算27

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可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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