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 biggora/claude-plugins-registry --skill tm-searchgit clone --depth 1 https://github.com/biggora/claude-plugins-registryWrote 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/biggora/claude-plugins-registry/tm-search)<a href="https://agentmods.dev/skills/biggora/claude-plugins-registry/tm-search"><img src="https://agentmods.dev/badge/skills/biggora/claude-plugins-registry/tm-search.svg" alt="Measured on agentmods" 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 | $0.00156 | $0.03351 |
| Opus 5 | $0.00078 | $0.01675 |
| Sonnet 5 | $0.00031 | $0.00670 |
| Haiku 4.5 | $0.00016 | $0.00335 |
Grade A, and why
tm-search 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 8d 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.
curl -s "https://tmsearch.uspto.gov/tsdr-api-v1-0-0/tsdr-api?serialNumber=78787878" \ How it starts
The opening of the file, as written. The whole thing — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
US Trademark Search Skill (tm-search)
This skill enables an agent to search, validate, and analyze US trademarks via USPTO APIs.
Important: API Access Reality
The USPTO trademark search system (tmsearch.uspto.gov) uses AWS WAF bot protection on its
Elasticsearch search backend. Direct keyword search via HTTP is not possible without browser
automation. However, the TSDR details API (case lookup by serial number) works without
authentication and returns JSON.
For keyword search, use one of these approaches:
- Playwright/browser automation — drive the tmsearch.uspto.gov web UI (most reliable)
- Third-party API — RapidAPI USPTO wrapper (requires API key, simpler to use)
For case status lookup by serial number, the built-in TSDR API works directly.
API Overview
| Use Case | Approach |
|---|---|
| Keyword/name text search | Browser automation on tmsearch.uspto.gov or RapidAPI |
| Case status by serial number | TSDR Details API (no auth, JSON) |
| Batch keyword validation | Browser automation + delays or RapidAPI |
| Case documents / images | TSDR API (requires API key since Oct 2024) |
API 1: TSDR Details API (No auth required — JSON)
Look up trademark case details by serial number. This endpoint is hosted on the tmsearch site and returns JSON without authentication.
Endpoint
GET https://tmsearch.uspto.gov/tsdr-api-v1-0-0/tsdr-api?serialNumber={SERIAL_NUMBER}
Serial numbers are 8 digits (no dashes). Example:
curl -s "https://tmsearch.uspto.gov/tsdr-api-v1-0-0/tsdr-api?serialNumber=78787878" \
-H "Accept: application/json"
Response Structure
{
"metadata": {
"caseStatus": "Abandoned because the applicant failed to respond...",
"statusDate": "2007-09-25",
"owners": [
{
"ipInfo": {
"name": "OWNER NAME",
"legalEntity": "3",
"contactAddress": {
"mailingAddresses": [
{
"cityName": "City",
"geographicRegionName": "STATE",
"postalCode": "12345",
"countryName": "UNITED STATES OF AMERICA"
}
]
},
"citizenship": {
"countryName": "UNITED STATES OF AMERICA",
"geographicRegionName": "STATE"
}
}
}
],
"attorney": {
"ipInfo": { "name": "Attorney Name" }
},
"correspondent": {
"ipInfo": {
"name": "Correspondent Name",
"contactAddress": { "mailingAddresses": [...], "electronicAddresses": [...] }
}
},
"markDetails": {
"isStandardCharClaimed": false
},
"tm5Status": {
"tm5StatusDescription": "...",
"tm5StatusCode": "10",
"tm5StatusDescriptor": "DEAD/APPLICATION/Refused/Dismissed or Invalidated",
"tm5LiveDead": "dead"
},
"classes": [
{ "classNumber": "009", "firstUseAnywhereDate": null, "firstUseInCommerceDate": null }
],
"docketNumber": "..."
},
"maintenance": {},
"prosecutionHistory": [
{
"historyDate": "2026-03-06",
"historyDescription": "Amended Drawing",
"documentId": "https://tsdr.uspto.gov/documentviewer?caseId=sn78787878&docId=..."
}
],
"assignments": [...],
"proceedings": [...],
"international": {}
}
What ships with it
3 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.
- 8d ago First seen · 368 lines · 156 tokens per session scan A 3800c2e144cc
tm-search is a skill published in the GitHub repository biggora/claude-plugins-registry (2 stars, last pushed 10d ago), licensed MIT. It adds 156 tokens to every session and 3,351 once invoked, about $0.0008 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 2026-08-31.
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