Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add silverstein/claude-scientific-skills-desktop --skill uspto-databasegit clone --depth 1 https://github.com/silverstein/claude-scientific-skills-desktopWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/uspto-database)<a href="https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/uspto-database"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/uspto-database/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/uspto-database"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/uspto-database.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.04492 |
| Opus 5 | $0.00020 | $0.02246 |
| Sonnet 5 | $0.00008 | $0.00898 |
| Haiku 4.5 | $0.00004 | $0.00449 |
Grade A, and why
uspto-database scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.post(url, headers=headers, json=query) This is a copy
95% identical to uspto-database — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 598 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
-
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/
-
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-pythonPython library - Replaced: PAIR Bulk Data (PBD) - decommissioned
-
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/
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 598 lines · 40 tokens per session scan A 7e0048fb5808
uspto-database is a skill published in the GitHub repository silverstein/claude-scientific-skills-desktop (22 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 4,492 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 95% identical to uspto-database, differing in 15 lines, and is treated as a copy.
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