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Agent Skill · 研究检索

uspto-database(美国专利商标局数据库)

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

uspto-database 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,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 18,003。

总安装 6,303周安装 268GitHub Stars 26,404下载 2,208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

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:uspto-database(美国专利商标局数据库)
来源仓库:https://github.com/davila7/claude-code-templates
仓库路径:skills/uspto-database
安装命令:
npx skills add https://github.com/davila7/claude-code-templates --skill uspto-database
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/davila7/claude-code-templates --skill uspto-database

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。

用于辅助数据库表结构和查询语句分析。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。适合编写 SQL、排查查询问题或生成迁移建议。需明确数据库类型和连接环境,区分只读与写入操作。涉及删除或批量导入时应优先 dry-run 或备份保护。

uspto-database 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/uspto-database

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/davila7/claude-code-templates --skill uspto-da…;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

    它需要接触敏感数据,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

uspto-database 怎么安装?

在终端执行 npx skills add https://github.com/davila7/claude-code-templates --skill uspto-database。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

uspto-database 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

uspto-database 需要什么权限?

权限级别是接触敏感数据。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。

uspto-database 是免费的吗?

来源标注的许可证是 MIT。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。

uspto-database 用的人多吗?

公开数据是累计安装 6,303 次,近一周安装 268 次,下载 2,208 次,GitHub 26,404 星。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。

uspto-database 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 26,404 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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 Codex,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
uspto-database

美国专利商标局数据库 · 本页

6,30326,404接触敏感数据MIT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

USPTO Database

Overview

USPTO provides specialized APIs for patent and trademark data. Search patents by keywords/inventors/assignees, retrieve examination history via PEDS, track assignments, analyze citations and office actions, access TSDR for trademarks, for IP analysis and prior art searches.

When to Use This Skill

This skill should be used when:

  • Patent Search: Finding patents by keywords, inventors, assignees, classifications, or dates
  • Patent Details: Retrieving full patent data including claims, abstracts, citations
  • Trademark Search: Looking up trademarks by serial or registration number
  • Trademark Status: Checking trademark status, ownership, and prosecution history
  • Examination History: Accessing patent prosecution data from PEDS (Patent Examination Data System)
  • Office Actions: Retrieving office action text, citations, and rejections
  • Assignments: Tracking patent/trademark ownership transfers
  • Citations: Analyzing patent citations (forward and backward)
  • Litigation: Accessing patent litigation records
  • Portfolio Analysis: Analyzing patent/trademark portfolios for companies or inventors

USPTO API Ecosystem

The USPTO provides multiple specialized APIs for different data needs:

Core APIs

  1. PatentSearch API - Modern ElasticSearch-based patent search (replaced legacy PatentsView in May 2025)

- Search patents by keywords, inventors, assignees, classifications, dates - Access to patent data through June 30, 2025 - 45 requests/minute rate limit - Base URL: https://search.patentsview.org/api/v1/

  1. PEDS (Patent Examination Data System) - Patent examination history

- Application status and transaction history from 1981-present - Office action dates and examination events - Use uspto-opendata-python Python library - Replaced: PAIR Bulk Data (PBD) - decommissioned

  1. TSDR (Trademark Status & Document Retrieval) - Trademark data

- Trademark status, ownership, prosecution history - Search by serial or registration number - Base URL: https://tsdrapi.uspto.gov/ts/cd/

Additional APIs

  1. Patent Assignment Search - Ownership records and transfers
  2. Trademark Assignment Search - Trademark ownership changes
  3. Enriched Citation API - Patent citation analysis
  4. Office Action Text Retrieval - Full text of office actions
  5. Office Action Citations - Citations from office actions
  6. Office Action Rejection - Rejection reasons and types
  7. PTAB API - Patent Trial and Appeal Board proceedings
  8. Patent Litigation Cases - Federal district court litigation data
  9. Cancer Moonshot Data Set - Cancer-related patents

Quick Start

API Key Registration

All USPTO APIs require an API key. Register at: https://account.uspto.gov/api-manager/

Set the API key as an environment variable:

export USPTO_API_KEY="your_api_key_here"

Helper Scripts

This skill includes Python scripts for common operations:

  • scripts/patent_search.py - PatentSearch API client for searching patents
  • scripts/peds_client.py - PEDS client for examination history
  • scripts/trademark_client.py - TSDR client for trademark data

Task 1: Searching Patents

Using the PatentSearch API

The PatentSearch API uses a JSON query language with various operators for flexible searching.

Basic Patent Search Examples

Search by keywords in abstract:

from scripts.patent_search import PatentSearchClient

client = PatentSearchClient()

# Search for machine learning patents
results = client.search_patents({
    "patent_abstract": {"_text_all": ["machine", "learning"]}
})

for patent in results['patents']:
    print(f"{patent['patent_number']}: {patent['patent_title']}")

Search by inventor:

results = client.search_by_inventor("John Smith")

Search by assignee/company:

results = client.search_by_assignee("Google")

Search by date range:

results = client.search_by_date_range("2024-01-01", "2024-12-31")

Search by CPC classification:

results = client.search_by_classification("H04N")  # Video/image tech
Advanced Patent Search

Combine multiple criteria with logical operators:

results = client.advanced_search(
    keywords=["artificial", "intelligence"],
    assignee="Microsoft",
    start_date="2023-01-01",
    end_date="2024-12-31",
    cpc_codes=["G06N", "G06F"]  # AI and computing classifications
)
Direct API Usage

For complex queries, use the API directly:

import requests

url = "https://search.patentsview.org/api/v1/patent"
headers = {
    "X-Api-Key": "YOUR_API_KEY",
    "Content-Type": "application/json"
}

query = {
    "q": {
        "_and": [
            {"patent_date": {"_gte": "2024-01-01"}},
            {"assignee_organization": {"_text_any": ["Google", "Alphabet"]}},
            {"cpc_subclass_id": ["G06N", "H04N"]}
        ]
    },
    "f": ["patent_number", "patent_title", "patent_date", "inventor_name"],
    "s": [{"patent_date": "desc"}],
    "o": {"per_page": 100, "page": 1}
}

response = requests.post(url, headers=headers, json=query)
results = response.json()

Query Operators

  • Equality: {"field": "value"} or {"field": {"_eq": "value"}}
  • Comparison: _gt, _gte, _lt, _lte, _neq
  • Text search: _text_all, _text_any, _text_phrase
  • String matching: _begins, _contains
  • Logical: _and, _or, _not

Best Practice: Use _text_* operators for text fields (more performant than _contains or _begins)

Available Patent Endpoints

  • /patent - Granted patents
  • /publication - Pregrant publications
  • /inventor - Inventor information
  • /assignee - Assignee information
  • /cpc_subclass, /cpc_at_issue - CPC classifications
  • /uspc - US Patent Classification
  • /ipc - International Patent Classification
  • /claims, /brief_summary_text, /detail_description_text - Text data (beta)

Reference Documentation

See references/patentsearch_api.md for complete PatentSearch API documentation including:

  • All available endpoints
  • Complete field reference
  • Query syntax and examples
  • Response formats
  • Rate limits and best practices

Task 2: Retrieving Patent Examination Data

Using PEDS (Patent Examination Data System)

PEDS provides comprehensive prosecution history including transaction events, status changes, and examination timeline.

Installation
uv pip install uspto-opendata-python
Basic PEDS Usage

Get application data:

from scripts.peds_client import PEDSHelper

helper = PEDSHelper()

# By application number
app_data = helper.get_application("16123456")
print(f"Title: {app_data['title']}")
print(f"Status: {app_data['app_status']}")

# By patent number
patent_data = helper.get_patent("11234567")

Get transaction history:

transactions = helper.get_transaction_history("16123456")

for trans in transactions:
    print(f"{trans['date']}: {trans['code']} - {trans['description']}")

Get office actions:

office_actions = helper.get_office_actions("16123456")

for oa in office_actions:
    if oa['code'] == 'CTNF':
        print(f"Non-final rejection: {oa['date']}")
    elif oa['code'] == 'CTFR':
        print(f"Final rejection: {oa['date']}")
    elif oa['code'] == 'NOA':
        print(f"Notice of allowance: {oa['date']}")

Get status summary:

summary = helper.get_status_summary("16123456")

print(f"Current status: {summary['current_status']}")
print(f"Filing date: {summary['filing_date']}")
print(f"Pendency: {summary['pendency_days']} days")

if summary['is_patented']:
    print(f"Patent number: {summary['patent_number']}")
    print(f"Issue date: {summary['issue_date']}")
Prosecution Analysis

Analyze prosecution patterns:

analysis = helper.analyze_prosecution("16123456")

print(f"Total office actions: {analysis['total_office_actions']}")
print(f"Non-final rejections: {analysis['non_final_rejections']}")
print(f"Final rejections: {analysis['final_rejections']}")
print(f"Allowed: {analysis['allowance']}")
print(f"Responses filed: {analysis['responses']}")

Common Transaction Codes

  • CTNF - Non-final rejection mailed
  • CTFR - Final rejection mailed
  • NOA - Notice of allowance mailed
  • WRIT - Response filed
  • ISS.FEE - Issue fee payment
  • ABND - Application abandoned
  • AOPF - Office action mailed

Reference Documentation

See references/peds_api.md for complete PEDS documentation including:

  • All available data fields
  • Transaction code reference
  • Python library usage
  • Portfolio analysis examples

Task 3: Searching and Monitoring Trademarks

Using TSDR (Trademark Status & Document Retrieval)

Access trademark status, ownership, and prosecution history.

Basic Trademark Usage

Get trademark by serial number:

from scripts.trademark_client import TrademarkClient

client = TrademarkClient()

# By serial number
tm_data = client.get_trademark_by_serial("87654321")

# By registration number
tm_data = client.get_trademark_by_registration("5678901")

Get trademark status:

status = client.get_trademark_status("87654321")

print(f"Mark: {status['mark_text']}")
print(f"Status: {status['status']}")
print(f"Filing date: {status['filing_date']}")

if status['is_registered']:
    print(f"Registration #: {status['registration_number']}")
    print(f"Registration date: {status['registration_date']}")

Check trademark health:

health = client.check_trademark_health("87654321")

print(f"Mark: {health['mark']}")
print(f"Status: {health['status']}")

for alert in health['alerts']:
    print(alert)

if health['needs_attention']:
    print("⚠️  This mark needs attention!")
Trademark Portfolio Monitoring

Monitor multiple trademarks:

def monitor_portfolio(serial_numbers, api_key):
    """Monitor trademark portfolio health."""
    client = TrademarkClient(api_key)

    results = {
        'active': [],
        'pending': [],
        'problems': []
    }

    for sn in serial_numbers:
        health = client.check_trademark_health(sn)

        if 'REGISTERED' in health['status']:
            results['active'].append(health)
        elif 'PENDING' in health['status'] or 'PUBLISHED' in health['status']:
            results['pending'].append(health)
        elif health['needs_attention']:
            results['problems'].append(health)

    return results

Common Trademark Statuses

  • REGISTERED - Active registered mark
  • PENDING - Under examination
  • PUBLISHED FOR OPPOSITION - In opposition period
  • ABANDONED - Application abandoned
  • CANCELLED - Registration cancelled
  • SUSPENDED - Examination suspended
  • REGISTERED AND RENEWED - Registration renewed

Reference Documentation

See references/trademark_api.md for complete trademark API documentation including:

  • TSDR API reference
  • Trademark Assignment Search API
  • All status codes
  • Prosecution history access
  • Ownership tracking

Task 4: Tracking Assignments and Ownership

Patent and Trademark Assignments

Both patents and trademarks have Assignment Search APIs for tracking ownership changes.

Patent Assignment API

Base URL: https://assignment-api.uspto.gov/patent/v1.4/

Search by patent number:

import requests
import xml.etree.ElementTree as ET

def get_patent_assignments(patent_number, api_key):
    url = f"https://assignment-api.uspto.gov/patent/v1.4/assignment/patent/{patent_number}"
    headers = {"X-Api-Key": api_key}

    response = requests.get(url, headers=headers)
    if response.status_code == 200:
        return response.text  # Returns XML

assignments_xml = get_patent_assignments("11234567", api_key)
root = ET.fromstring(assignments_xml)

for assignment in root.findall('.//assignment'):
    recorded_date = assignment.find('recordedDate').text
    assignor = assignment.find('.//assignor/name').text
    assignee = assignment.find('.//assignee/name').text
    conveyance = assignment.find('conveyanceText').text

    print(f"{recorded_date}: {assignor} → {assignee}")
    print(f"  Type: {conveyance}\n")

Search by company name:

def find_company_patents(company_name, api_key):
    url = "https://assignment-api.uspto.gov/patent/v1.4/assignment/search"
    headers = {"X-Api-Key": api_key}
    data = {"criteria": {"assigneeName": company_name}}

    response = requests.post(url, headers=headers, json=data)
    return response.text

Common Assignment Types

  • ASSIGNMENT OF ASSIGNORS INTEREST - Ownership transfer
  • SECURITY AGREEMENT - Collateral/security interest
  • MERGER - Corporate merger
  • CHANGE OF NAME - Name change
  • ASSIGNMENT OF PARTIAL INTEREST - Partial ownership

Task 5: Accessing Additional USPTO Data

Office Actions, Citations, and Litigation

Multiple specialized APIs provide additional patent data.

Office Action Text Retrieval

Retrieve full text of office actions using application number. Integrate with PEDS to identify which office actions exist, then retrieve full text.

Enriched Citation API

Analyze patent citations:

  • Forward citations (patents citing this patent)
  • Backward citations (prior art cited)
  • Examiner vs. applicant citations
  • Citation context
Patent Litigation Cases API

Access federal district court patent litigation records:

  • 74,623+ litigation records
  • Patents asserted
  • Parties and venues
  • Case outcomes
PTAB API

Patent Trial and Appeal Board proceedings:

  • Inter partes review (IPR)
  • Post-grant review (PGR)
  • Appeal decisions

Reference Documentation

See references/additional_apis.md for comprehensive documentation on:

  • Enriched Citation API
  • Office Action APIs (Text, Citations, Rejections)
  • Patent Litigation Cases API
  • PTAB API
  • Cancer Moonshot Data Set
  • OCE Status/Event Codes

Complete Analysis Example

Comprehensive Patent Analysis

Combine multiple APIs for complete patent intelligence:

def comprehensive_patent_analysis(patent_number, api_key):
    """
    Full patent analysis using multiple USPTO APIs.
    """
    from scripts.patent_search import PatentSearchClient
    from scripts.peds_client import PEDSHelper

    results = {}

    # 1. Get patent details
    patent_client = PatentSearchClient(api_key)
    patent_data = patent_client.get_patent(patent_number)
    results['patent'] = patent_data

    # 2. Get examination history
    peds = PEDSHelper()
    results['prosecution'] = peds.analyze_prosecution(patent_number)
    results['status'] = peds.get_status_summary(patent_number)

    # 3. Get assignment history
    import requests
    assign_url = f"https://assignment-api.uspto.gov/patent/v1.4/assignment/patent/{patent_number}"
    assign_resp = requests.get(assign_url, headers={"X-Api-Key": api_key})
    results['assignments'] = assign_resp.text if assign_resp.status_code == 200 else None

    # 4. Analyze results
    print(f"\n=== Patent {patent_number} Analysis ===\n")
    print(f"Title: {patent_data['patent_title']}")
    print(f"Assignee: {', '.join(patent_data.get('assignee_organization', []))}")
    print(f"Issue Date: {patent_data['patent_date']}")

    print(f"\nProsecution:")
    print(f"  Office Actions: {results['prosecution']['total_office_actions']}")
    print(f"  Rejections: {results['prosecution']['non_final_rejections']} non-final, {results['prosecution']['final_rejections']} final")
    print(f"  Pendency: {results['prosecution']['pendency_days']} days")

    # Analyze citations
    if 'cited_patent_number' in patent_data:
        print(f"\nCitations:")
        print(f"  Cites: {len(patent_data['cited_patent_number'])} patents")
    if 'citedby_patent_number' in patent_data:
        print(f"  Cited by: {len(patent_data['citedby_patent_number'])} patents")

    return results

Best Practices

  1. API Key Management

- Store API key in environment variables - Never commit keys to version control - Use same key across all USPTO APIs

  1. Rate Limiting

- PatentSearch: 45 requests/minute - Implement exponential backoff for rate limit errors - Cache responses when possible

  1. Query Optimization

- Use _text_* operators for text fields (more performant) - Request only needed fields to reduce response size - Use date ranges to narrow searches

  1. Data Handling

- Not all fields populated for all patents/trademarks - Handle missing data gracefully - Parse dates consistently

  1. Combining APIs

- Use PatentSearch for discovery - Use PEDS for prosecution details - Use Assignment APIs for ownership tracking - Combine data for comprehensive analysis

Important Notes

  • Legacy API Sunset: PatentsView legacy API discontinued May 1, 2025 - use PatentSearch API
  • PAIR Bulk Data Decommissioned: Use PEDS instead
  • Data Coverage: PatentSearch has data through June 30, 2025; PEDS from 1981-present
  • Text Endpoints: Claims and description endpoints are in beta with ongoing backfilling
  • Rate Limits: Respect rate limits to avoid service disruptions

Resources

API Documentation

Python Libraries

Reference Files

  • references/patentsearch_api.md - Complete PatentSearch API reference
  • references/peds_api.md - PEDS API and library documentation
  • references/trademark_api.md - Trademark APIs (TSDR and Assignment)
  • references/additional_apis.md - Citations, Office Actions, Litigation, PTAB

Scripts

  • scripts/patent_search.py - PatentSearch API client
  • scripts/peds_client.py - PEDS examination data client
  • scripts/trademark_client.py - Trademark search client

平台分布

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30.19%
按下载量换算667

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24.85%
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19.07%
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Gemini CLI

13.5%
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windsurf

3.05%
按下载量换算67

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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