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 akiotanaka847/qaio-desktop --skill check-a-trademarkgit clone --depth 1 https://github.com/akiotanaka847/qaio-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/akiotanaka847/qaio-desktop/check-a-trademark)<a href="https://agentmods.dev/skills/akiotanaka847/qaio-desktop/check-a-trademark"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/check-a-trademark/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/akiotanaka847/qaio-desktop/check-a-trademark"><img src="https://agentmods.dev/badge/skills/akiotanaka847/qaio-desktop/check-a-trademark.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 | $0.00080 | $0.01213 |
| Opus 5 | $0.00040 | $0.00607 |
| Sonnet 5 | $0.00016 | $0.00243 |
| Haiku 4.5 | $0.00008 | $0.00121 |
Grade A, and why
check-a-trademark scanned grade A with 0 findings 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 11d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Check a Trademark
Not clearance opinion - knockout. Knockout answer "obvious blocker?" Not "safe to register?" Second question need TM counsel.
When to use
- "Run knockout on {mark}."
- "Is {name} available as trademark?"
- Before any spend on branding, domain, logomark.
- Before filing 1(b) intent-to-use application.
Steps
-
Read shared context. Read
context/legal-context.md. If missing or empty, ask the user in plain language: "I need to know a few basics about your company first. Want to set those up now?" Then runset-up-my-legal-infoif yes. Stop until that's done. -
Confirm mark + classes. Founder give:
- Proposed word mark (design element / logo separate if relevant - design marks need own search).
- Nice classes they want. Most SaaS founders = Class 9 (software / downloadable apps) + Class 42 (SaaS / platform-as-a-service). Branded consumer hardware add Class 35 (retail services) or product class. Founder unsure → propose 9 + 42, confirm.
Write
config/trademark-prefs.jsonwith{ classes, lastSearchedAt }if first-time. -
Run knockout vs USPTO Trademark Center. Run
composio search usptoorcomposio search trademarkfor tool slug; USPTO Trademark Center (launched Jan 2025) = canonical system. No connected tool → runcomposio search web-scrapeand queryhttps://tmsearch.uspto.gov/direct.Four passes per class:
- Exact-word pass -
markas wordmark. - Phonetic pass - phonetic equivalents (Kandi vs Candy, Fone vs Phone, Noot vs Newt, etc.).
- Visual pass - letter-swap / transliteration (Lyft vs Lift, Tumblr vs Tumbler).
- Root-word pass - search root if mark compound (e.g. "BrightCloud" → search "Bright" and "Cloud").
- Exact-word pass -
-
Classify each hit. Per result capture: serial number, full mark, owner, goods/services description, class, filing date, status (
LIVE/PENDING/ABANDONED/DEAD). LIVE or PENDING hit in overlapping class = blocker. ABANDONED or DEAD = informational (still possible common-law mark issue, not registration blocker).
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.
- 11d ago First seen · 68 lines · 80 tokens per session scan A 15fa65b4e0ff
check-a-trademark is a skill published in the GitHub repository akiotanaka847/qaio-desktop (2 stars, last pushed 7d ago), licensed MIT. It adds 80 tokens to every session and 1,213 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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