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 agentmods add skills/rulords/notebooklm-mcp-multiprofile/docsnpx skills add rulords/notebooklm-mcp-multiprofile --skill docsgit clone --depth 1 https://github.com/rulords/notebooklm-mcp-multiprofileWrote 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/rulords/notebooklm-mcp-multiprofile/docs)<a href="https://agentmods.dev/skills/rulords/notebooklm-mcp-multiprofile/docs"><img src="https://agentmods.dev/badge/skills/rulords/notebooklm-mcp-multiprofile/docs.svg" alt="Measured on agentmods" 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 | $0.00091 | $0.01746 |
| Opus 5 | $0.00046 | $0.00873 |
| Sonnet 5 | $0.00018 | $0.00349 |
| Haiku 4.5 | $0.00009 | $0.00175 |
Grade A, and why
notebooklm 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 5d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM MCP — Skill de Orquestación
Reglas de Operación (leer siempre primero)
- Multi-perfil: Las herramientas se llaman
mcp_notebooklm_[PERFIL]_[herramienta]. Elegir el perfil correcto según el contexto del usuario. Si es ambiguo, preguntar. - Async obligatorio:
research_startystudio_createson asíncronos. SIEMPRE hacer poll conresearch_status/studio_statushastastatus="completed". Nunca asumir completado inmediato. - Confirmación: Todas las herramientas
_createdestructivas y_deleterequierenconfirm=True. Si el usuario dio instrucción clara, proceder sin preguntar de nuevo. - Auth expirada: Si cualquier herramienta retorna
RPC Error 16oAuthentication expired, ejecutarrefresh_auth()del perfil afectado. Si sigue fallando, informar al usuario que debe renovar cookies coninject_profile.py. - Drive sync: Antes de consultar notebooks con fuentes de Drive, ejecutar
source_list_drivey si hayneeds_sync=True, ejecutarsource_sync_drive(confirm=True).
Referencia de Herramientas
Notebooks
| Herramienta | Descripción |
|---|---|
notebook_list |
Lista todos los notebooks. Usar max_results para limitar. |
notebook_create |
Crea notebook vacío. Parámetro: title. |
notebook_get |
Detalles y lista de fuentes de un notebook. |
notebook_describe |
Resumen IA del contenido + temas sugeridos. |
notebook_rename |
Renombrar. Usar proactivamente si el título es genérico. |
notebook_delete |
Eliminar permanentemente. Requiere confirm=True. |
notebook_query |
Pregunta a la IA basada SOLO en las fuentes del notebook. Usar conversation_id para follow-up. |
chat_configure |
Configurar estilo de respuesta (goal, response_length). |
Fuentes
| Herramienta | Descripción |
|---|---|
source_add |
Agregar fuente. source_type: url, text, drive, file. Usar wait=True para esperar procesamiento. |
source_describe |
Resumen IA de una fuente específica. |
source_get_content |
Texto crudo de la fuente (sin IA, más rápido). |
source_delete |
Eliminar fuente. Requiere confirm=True. |
source_list_drive |
Listar fuentes de Drive con estado de frescura. |
source_sync_drive |
Sincronizar fuentes desactualizadas. Requiere confirm=True. |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 143 lines · 91 tokens per session scan A 119cde29c1fa
notebooklm is a skill published in the GitHub repository rulords/notebooklm-mcp-multiprofile (0 stars, last pushed 4mo ago), licensed MIT. It adds 91 tokens to every session and 1,746 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 2026-08-31.
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