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 AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-usptogit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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/alterlab-ieu/alterlab-academic-skills/alterlab-uspto)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-uspto"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-uspto/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/alterlab-ieu/alterlab-academic-skills/alterlab-uspto"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-uspto.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 255 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 257 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00073 | $0.02683 |
| Opus 5 | $0.00036 | $0.01341 |
| Sonnet 5 | $0.00015 | $0.00537 |
| Haiku 4.5 | $0.00007 | $0.00268 |
Grade A, and why
alterlab-uspto 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 7d 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.
allowed-tools: Read WebFetch Bash(curl:*) Bash(python:*) How it starts
The opening of the file, as written. The whole thing — 276 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
9 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.
- evals/evals.json 4.2 KB
- references/additional_apis.md 9.5 KB
- references/patentsearch_api.md 7.6 KB
- references/peds_api.md 6.4 KB
- references/trademark_api.md 9.5 KB
- references/usage_examples.md 11 KB
- scripts/patent_search.py 8.8 KB runs code
- scripts/peds_client.py 9.4 KB runs code
- scripts/trademark_client.py 10 KB runs code
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.
- 7d ago First seen · 276 lines · 73 tokens per session scan A 6c5ce7f5c752
alterlab-uspto is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 7d ago), licensed MIT. It adds 73 tokens to every session and 2,683 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
Other skills, from other repositories
academic-slides
Create Beamer-inspired academic HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build slides for a conference talk, lecture, seminar, or thesis defense. Supports theorem environments, KaTeX equations, algorithm pseudocode, and citations. Helps academics discover their…
ob-hrm-scale-adaptor
A guide for adapting organisational behaviour and human-resources survey scales across languages and cultures. It covers permission checks, translation and back-translation, expert review, participant interviews, and tests of whether groups interpret the scale comparably.
r-spss-syntax-architect
A guide for turning research hypotheses into repeatable R or SPSS code for statistical analysis. It covers panel data, where the same companies or other units are observed over time, as well as interaction effects, curves, and mediation.
phd-milestone-tracker
A tracker for planning and monitoring the academic milestones of working business doctoral students.
q1-journal-reviewer
A simulated anonymous review by a demanding business-research journal referee. It examines a complete paper for contribution, causal reasoning, robustness checks, mechanisms, and the difference between statistical and real-world importance.
tej-data-scout
A research-planning guide that checks whether a proposed study can use data from a database such as TEJ, Taiwan’s financial and economic data service. It breaks the topic into variables, finds likely data sections, checks coverage and frequency, and notes gaps that still need confirmation.