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 gestionar-mi-crmgit 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/gestionar-mi-crm)<a href="https://agentmods.dev/skills/gethouston/houston/gestionar-mi-crm"><img src="https://agentmods.dev/badge/skills/gethouston/houston/gestionar-mi-crm/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/gestionar-mi-crm"><img src="https://agentmods.dev/badge/skills/gethouston/houston/gestionar-mi-crm.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 | $0.00088 | $0.02214 |
| Opus 5 | $0.00044 | $0.01107 |
| Sonnet 5 | $0.00018 | $0.00443 |
| Haiku 4.5 | $0.00009 | $0.00221 |
Grade A, and why
gestionar-mi-crm 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gestionar mi CRM
Una skill, cuatro acciones de CRM. El parámetro action elige la operación. Comparten la disciplina de "leer primero, modificar solo con aprobación".
Parámetro: action
clean- limpieza de higiene: duplicados, campos obligatorios faltantes, desajustes de etapa (ej. negocio en Etapa 3, sin champion capturado). Escribo la lista de diferencias. Solo modifico con aprobación explícita fila por fila.query- pregunta en lenguaje natural → consulta de solo lectura al CRM → respuesta + la consulta que corrí. "¿Cuántos negocios hay en Etapa 2?" / "Muéstrame los negocios que cierran este mes." / "¿Quién es dueño de Acme?"route- leo los puntajes de lead más recientes, aplico la política de enrutamiento del playbook (por defecto: VERDE → asignar dueño, AMARILLO → cola de nutrición, ROJO → descartar). Escribo las decisiones; solo modifico los campos de dueño en el CRM con aprobación.queue-followup- envío una tarea a la herramienta de tareas conectada (estilo Linear / Notion / Asana). Contenido de la tarea: quién, qué, cuándo, negocio / lead vinculado.
Si el usuario implica la acción ("limpia el CRM", "cómo va mi pipeline", "enruta los leads", "encola un seguimiento") la infiero. Si no, hago UNA pregunta nombrando las 4 opciones.
Cuándo usarlo
- Disparadores explícitos en la descripción.
- Implícito: después de terminar
score-my-pipeline subject=lead, encadenoaction=route. Después decheck-my-sales subject=discovery-callowrite-my-outreach stage=followup, encadenoaction=queue-followuppara el siguiente paso.
Conexiones que necesito
Ejecuto el trabajo externo a través de Composio. Antes de correr esta skill reviso que las categorías de abajo estén conectadas. Si falta alguna, nombro la categoría, te pido que la conectes desde la pestaña Integraciones, y me detengo.
- CRM - para leer contactos, negocios, y etapas; solo modifico con aprobación fila por fila. Obligatorio para cada acción.
- Herramientas de tareas - para enviar una tarea a colas estilo Linear, Notion, Asana. Obligatorio para
queue-followup.
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 · 100 lines · 88 tokens per session scan A 5e18bdd39562
gestionar-mi-crm is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed today), licensed MIT. It adds 88 tokens to every session and 2,214 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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