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 contactandrewchl-wq/turtle-mcp --skill geo-seogit clone --depth 1 https://github.com/contactandrewchl-wq/turtle-mcpWrote 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/contactandrewchl-wq/turtle-mcp/geo-seo)<a href="https://agentmods.dev/skills/contactandrewchl-wq/turtle-mcp/geo-seo"><img src="https://agentmods.dev/badge/skills/contactandrewchl-wq/turtle-mcp/geo-seo/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/contactandrewchl-wq/turtle-mcp/geo-seo"><img src="https://agentmods.dev/badge/skills/contactandrewchl-wq/turtle-mcp/geo-seo.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 | $0.00059 | $0.03417 |
| Opus 5 | $0.00030 | $0.01708 |
| Sonnet 5 | $0.00012 | $0.00683 |
| Haiku 4.5 | $0.00006 | $0.00342 |
Grade A, and why
geo-seo 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO + SEO (optimización para motores generativos y buscadores)
Guía de conocimiento para optimizar sitios de modo que sean citados por motores generativos (ChatGPT, Claude, Perplexity, Gemini) y rankeen en buscadores tradicionales. Cubre citability, llms.txt, datos estructurados, acceso de crawlers de IA, brand mentions y SEO técnico base.
Cuándo usar
Usa esta skill cuando trabajes en:
- Landings y sitios de cliente que dependen de tráfico orgánico o de visibilidad pública.
- Contenido que debe ser citado por IA: artículos, guías, páginas de producto, FAQs, documentación de marca.
- Contenido que debe rankear en Google/Bing por keywords con intención comercial o informacional.
- Negocios locales que quieren aparecer en respuestas de IA y en el paquete local de buscadores.
Cuándo NO usar:
- App interna sin tráfico público (dashboards admin, paneles privados, herramientas de equipo).
- Endpoints/APIs detrás de auth: no se indexan ni se citan, y exponerlos es riesgo de seguridad.
- Páginas transaccionales sensibles (checkout, perfil de usuario): se excluyen de indexación a propósito.
Regla general: si la página no busca audiencia externa, GEO+SEO no aplica y agregar marcado solo añade ruido.
GEO vs SEO
SEO (Search Engine Optimization) optimiza para que un buscador tradicional (Google, Bing) liste tu URL en su página de resultados. El usuario hace clic y llega a tu sitio. Métricas: posición, CTR, tráfico orgánico.
GEO (Generative Engine Optimization) optimiza para que un motor generativo (ChatGPT, Claude, Perplexity, Gemini, AI Overviews de Google) mencione tu marca o cite tu contenido dentro de su respuesta. Muchas veces el usuario NUNCA visita tu sitio: la IA resume y atribuye. La meta es ser la fuente que el modelo elige citar.
Por qué GEO importa cada vez más: la búsqueda asistida por IA desplaza tráfico de la búsqueda tradicional. Cuando el modelo responde directo, el clic clásico desaparece (zero-click) y la visibilidad pasa a depender de ser citado, no de rankear. Quien no aparece en las respuestas generativas pierde presencia aunque rankee bien en Google.
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 · 168 lines · 59 tokens per session scan A ea30ec84e5d8
geo-seo is a skill published in the GitHub repository contactandrewchl-wq/turtle-mcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 3,417 once invoked, about $0.0003 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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