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 analizar-mis-ticketsgit 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/analizar-mis-tickets)<a href="https://agentmods.dev/skills/gethouston/houston/analizar-mis-tickets"><img src="https://agentmods.dev/badge/skills/gethouston/houston/analizar-mis-tickets/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/analizar-mis-tickets"><img src="https://agentmods.dev/badge/skills/gethouston/houston/analizar-mis-tickets.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 | $0.00087 | $0.01651 |
| Opus 5 | $0.00044 | $0.00826 |
| Sonnet 5 | $0.00017 | $0.00330 |
| Haiku 4.5 | $0.00009 | $0.00165 |
Grade A, and why
analizar-mis-tickets 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 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.
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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analizar mis tickets
Distinta de flag-a-signal signal=repeat-question. Esa skill genera candidatos a vacíos en la base de conocimiento (vista operativa). Esta genera un reporte estratégico de voz del cliente (vista de producto/posicionamiento). Mismos datos de origen, distinto consumidor.
Cuándo usarla
- "analiza los últimos {N} tickets en busca de temas."
- "¿qué están pidiendo los clientes?"
- Antes de escribir el roadmap, una actualización de landing page, o un reporte para inversionistas.
- Solicitudes puntuales de investigación estratégica.
Conexiones que necesito
Hago el trabajo externo a través de Composio. Antes de ejecutar esta skill, verifico que las categorías de abajo estén conectadas. Si falta alguna → nombro la categoría, te pido que la conectes desde la pestaña de Integraciones, y me detengo.
- Bandeja de entrada (Gmail) - fuente de los hilos de clientes cuando
conversations.jsonno cubre el periodo. Opcional si los datos locales están al día. - Help-desk de soporte (Intercom / Zendesk / Help Scout) - fuente alterna de tickets. Opcional.
Si ninguna está conectada y el índice local de conversaciones es escaso, me detengo y te pido que conectes tu bandeja de entrada o tu help-desk para tener suficiente señal.
Información que necesito
Primero leo tu contexto de soporte. Por cada campo obligatorio que falte, te hago UNA pregunta en lenguaje simple (mejor modalidad: app conectada > archivo > URL > pegar texto) y espero.
- Posicionamiento actual - Obligatorio. Por qué lo necesito: detecto fricción comparando el lenguaje real de los clientes contra lo que tú afirmas. Si falta, pregunto: "¿Cómo describes hoy lo que hace el producto? Comparte la URL de tu página principal o un párrafo."
- Ventana de tiempo - Obligatorio. Por qué lo necesito: 30 días es el valor por defecto, pero lo amplío o reduzco si quieres. Si falta, pregunto: "¿Qué tan atrás debo mirar? ¿Últimos 30 días, el último trimestre, desde el lanzamiento?"
- Filtro de segmento - Opcional. Por qué lo necesito: me permite agrupar por tipo de cliente en vez de mezclar todo. Si no lo tienes, sigo con TBD y muestro grupos mixtos.
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 · 121 lines · 87 tokens per session scan A ee009c0012cf
analizar-mis-tickets is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 1,651 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 2026-09-03.
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