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 gethouston/houston --skill verificar-una-marcagit clone --depth 1 https://github.com/gethouston/houstonWrote 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/gethouston/houston/verificar-una-marca)<a href="https://agentmods.dev/skills/gethouston/houston/verificar-una-marca"><img src="https://agentmods.dev/badge/skills/gethouston/houston/verificar-una-marca/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/gethouston/houston/verificar-una-marca"><img src="https://agentmods.dev/badge/skills/gethouston/houston/verificar-una-marca.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00091 | $0.01456 |
| Opus 5 | $0.00046 | $0.00728 |
| Sonnet 5 | $0.00018 | $0.00291 |
| Haiku 4.5 | $0.00009 | $0.00146 |
Grade A, and why
verificar-una-marca 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 12d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verificar una marca
No es una opinión de autorización, es un filtro de descarte. El filtro de descarte responde "¿hay un bloqueo obvio?", no "¿es seguro registrarla?". Esa segunda pregunta necesita un abogado de marcas.
Cuándo usar
- "Haz un filtro de descarte sobre {marca}."
- "¿{nombre} está disponible como marca?"
- Antes de gastar en branding, dominio o logotipo.
- Antes de presentar una solicitud de intención de uso 1(b).
Pasos
-
Lee el contexto compartido. Lee
context/legal-context.md. Si falta o está vacío, pregunta al usuario en lenguaje simple: "Necesito saber algunos datos básicos de tu empresa primero. ¿Quieres configurarlos ahora?" Luego ejecutaset-up-my-legal-infosi dice que sí. Detente hasta que eso esté listo. -
Confirma la marca y las clases. El fundador te da:
- La marca denominativa propuesta (el elemento de diseño o logo es aparte si aplica, las marcas de diseño necesitan su propia búsqueda).
- Las clases Niza que quiere. La mayoría de los fundadores de SaaS usan la Clase 9 (software / apps descargables) + la Clase 42 (SaaS / plataforma como servicio). El hardware de consumo de marca agrega la Clase 35 (servicios de venta al por menor) o la clase de producto correspondiente. Si el fundador no está seguro → propón 9 + 42 y confirma.
Escribe
config/trademark-prefs.jsoncon{ classes, lastSearchedAt }si es la primera vez. -
Ejecuta el filtro de descarte contra el USPTO Trademark Center. Ejecuta
composio search usptoocomposio search trademarkpara el slug de la herramienta; el USPTO Trademark Center (lanzado en enero de 2025) es el sistema oficial. Si no hay herramienta conectada, ejecutacomposio search web-scrapey consulta directamentehttps://tmsearch.uspto.gov/.Cuatro pasadas por clase:
- Pasada exacta, la
marcacomo marca denominativa. - Pasada fonética, equivalentes fonéticos (Kandi vs Candy, Fone vs Phone, Noot vs Newt, etc.).
- Pasada visual, intercambio de letras o transliteración (Lyft vs Lift, Tumblr vs Tumbler).
- Pasada de raíz, busca la raíz si la marca es compuesta (por ejemplo, "BrightCloud" → busca "Bright" y "Cloud").
- Pasada exacta, la
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.
- 12d ago First seen · 70 lines · 91 tokens per session scan A 852d5f7849a0
verificar-una-marca is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed yesterday), licensed MIT. It adds 91 tokens to every session and 1,456 once invoked, about $0.0005 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 2026-08-30.
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