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 medir-mi-marketinggit 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/medir-mi-marketing)<a href="https://agentmods.dev/skills/gethouston/houston/medir-mi-marketing"><img src="https://agentmods.dev/badge/skills/gethouston/houston/medir-mi-marketing/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/medir-mi-marketing"><img src="https://agentmods.dev/badge/skills/gethouston/houston/medir-mi-marketing.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 | $0.00082 | $0.04226 |
| Opus 5 | $0.00041 | $0.02113 |
| Sonnet 5 | $0.00016 | $0.00845 |
| Haiku 4.5 | $0.00008 | $0.00423 |
Grade A, and why
medir-mi-marketing 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 13d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Medir mi marketing
Un skill para cada tarea de medición. El parámetro scope elige la forma del resultado: una especificación de seguimiento de eventos lista para un desarrollador, un documento riguroso de prueba A/B, o un resumen semanal de rendimiento en LinkedIn. Todo basado en tu posicionamiento para que midas lo que le importa a tu cliente ideal, no números vanidosos.
Parámetro: scope
tracking-plan- plan de seguimiento de eventos (nombre del evento, disparador, propiedades, dueño por paso) más una matriz de UTM para que paid / social / email sean comparables en GA4 o tu herramienta de analítica. Resultado:tracking-plans/{slug}.md.ab-test- especificación completa de prueba que cubre la hipótesis (PICOT), control vs variante, métricas primarias y secundarias, estimación de tamaño de muestra con MDE y poder estadístico, duración, y criterios de go/no-go. Resultado:ab-tests/{slug}.md.linkedin-digest- resumen semanal de las estadísticas de tus propias publicaciones (alcance, interacción, nuevos seguidores) más publicaciones destacadas de tu red que valen la pena. Resultado:linkedin-digests/{YYYY-MM-DD}.md.
Tú nombras el scope en lenguaje simple ("especifica el seguimiento de eventos para el registro", "prueba A/B para la página de precios", "resumen de LinkedIn", "cómo les fue a mis publicaciones") y yo infiero. Si es ambiguo, hago UNA pregunta que nombra las tres opciones.
Cuándo usarlo
tracking-plan:
- "Especifica el seguimiento de eventos de registro a activación"
- "Plan de UTM para las campañas del Q2"
- "Plan de seguimiento para la nueva página de precios"
- Lo invoca
plan-a-campaigncuando la campaña necesita eventos o UTMs que todavía no existen.
ab-test:
- "Prueba A/B para el titular de la página de precios"
- "Diseña un experimento para {cambio propuesto}"
- "Hipótesis para cambiar {X} por {Y}"
- Suele seguir a
audit-a-surface(surface=landing-page) cuando las correcciones señaladas no son obvias, entonces se diseña una prueba.
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.
- 13d ago First seen · 185 lines · 82 tokens per session scan A d40748a25d6f
medir-mi-marketing is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 4,226 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 2026-08-30.
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