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uspto-database

Access USPTO data (Patent Search, PEDS, TSDR, assignments) when you need to query patents/trademarks and retrieve prosecution or status information programmatically.

Install / Use

npx skills add aipoch/medical-research-skills --skill uspto-database

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

86/100

Supported Platforms

Universal

Our assessment of uspto-database

uspto-database scores 86/100 on our quality scale, 241st of 413 Data & Analytics skills we index.

Its SKILL.md is 3.0 KB long, well organised into 10 sections with 1 code example: a solid amount of guidance for an agent.

With 1,916 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
17/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 12 days ago, so uspto-database is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

uspto-database compared with similar skills

All 4 of these similar skills score higher than uspto-database; compare them before choosing.

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uspto-database (this skill)by aipoch861.9k12d agoSKILL.md
Agent-Reachby Panniantong10086.2k14d agoCLAUDE.md
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Frequently asked questions

How do I install uspto-database?
Run npx skills add aipoch/medical-research-skills --skill uspto-database. The install tabs above show the steps for each supported agent.
Which AI agents does uspto-database work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is uspto-database safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is uspto-database still maintained?
The repository was last updated 12 days ago, so uspto-database is actively maintained.

name: uspto-database description: Access USPTO data (Patent Search, PEDS, TSDR, assignments) when you need to query patents/trademarks and retrieve prosecution or status information programmatically. license: MIT author: AIPOCH

Source: https://github.com/aipoch/medical-research-skills

When to Use

  • Find relevant US patents by keyword, inventor, assignee, CPC/IPC class, or date range for prior-art screening.
  • Retrieve patent application/prosecution history (PEDS) to understand office actions, events, and timeline status.
  • Check trademark status and documents via TSDR for clearance, monitoring, or portfolio review.
  • Validate patent lifecycle signals such as maintenance-fee-related status or expiration indicators as part of diligence.
  • Pull assignment/ownership-related information to support chain-of-title checks.

Key Features

  • Patent search client for querying USPTO/PatentsView-style endpoints and returning matching patent identifiers/records.
  • PEDS client for fetching examination history and event data for applications.
  • TSDR access for trademark status and document retrieval.
  • Script-oriented workflow designed for automation (batch queries, pipelines, and integration into internal tools).

Dependencies

  • Python >=3.9
  • requests >=2.31.0
  • uspto-opendata-python >=0.3.0

Example Usage

# Example: search patents by abstract text and print results
# Prerequisite: set required API keys in environment variables as expected by your scripts/clients.
# For example (names may vary by implementation):
#   export USPTO_API_KEY="..."
#   export PATENTSVIEW_API_KEY="..."

from scripts.patent_search import PatentSearchClient

def main():
    client = PatentSearchClient()

    # Query example: search for patents whose abstract contains "AI"
    query = {"_text_all": {"patent_abstract": "AI"}}

    results = client.search_patents(query)
    print(results)

if __name__ == "__main__":
    main()

Implementation Details

  • Workflow

    1. Search: Use scripts/patent_search.py to locate relevant patent numbers/records from a text or fielded query.
    2. History: Use scripts/peds_client.py to retrieve prosecution/examination history (events, dates, and status signals).
    3. Status checks: Use retrieved metadata to assess maintenance-fee/expiration-related status where available.
  • Query model

    • Patent search is driven by a JSON query object (e.g., full-text constraints such as "_text_all" over fields like patent_abstract).
    • Returned results are intended to be fed into downstream steps (e.g., PEDS lookups by application/patent identifiers).
  • Authentication

    • API keys for USPTO and/or PatentsView are required and should be provided via environment variables or configuration used by the clients.
  • Networking

    • HTTP requests are performed via requests; ensure timeouts/retries are configured in the underlying clients if running large batches.

Related Skills

View on GitHub
GitHub Stars1.9k
CategoryData
Updated12d ago
Forks175

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions