notebooklm

notebooklm is a skill for Claude Code from proyecto26/notebooklm-ai-plugin. It costs 117 tokens per session (2,654 once invoked), scanned A, original, MIT.

A command-line connection to Google NotebookLM, a service for asking questions about supplied sources and generating study or presentation materials from them.

In plain words
What is it for?
Use it to add and manage sources, chat about them, research topics, create notes, or generate slides, audio, video, mind maps, quizzes, infographics, reports, and data tables.
Why use it?
It lets you work with source-grounded information and turn those sources into different formats instead of handling each task manually.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the notebooklm-ai-plugin plugin — 1 skill shipped together

Install

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.

agentmods
npx agentmods add skills/proyecto26/notebooklm-ai-plugin/notebooklm
Any agent
npx skills add proyecto26/notebooklm-ai-plugin --skill notebooklm
Clone the repo
git clone --depth 1 https://github.com/proyecto26/notebooklm-ai-plugin

Made for: Claude Code.

Or install notebooklm-ai-plugin, the plugin that ships this one along with the rest of its 1 skill.

Wrote 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.

agentmods badge for notebooklm

README.md
[![agentmods](https://agentmods.dev/badge/skills/proyecto26/notebooklm-ai-plugin/notebooklm.svg)](https://agentmods.dev/skills/proyecto26/notebooklm-ai-plugin/notebooklm)
Your own site
<a href="https://agentmods.dev/skills/proyecto26/notebooklm-ai-plugin/notebooklm"><img src="https://agentmods.dev/badge/skills/proyecto26/notebooklm-ai-plugin/notebooklm.svg" alt="Measured on agentmods" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,654 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00117 $0.02654
Opus 5 $0.00059 $0.01327
Sonnet 5 $0.00023 $0.00531
Haiku 4.5 $0.00012 $0.00265

Measured 6d ago against content hash 19c9ef3677a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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 6d ago.

The scan reads SKILL.md. This mod also ships 15 executable files (scripts/artifact-generator.ts, scripts/auth.ts, scripts/chat.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/notebooklm/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NotebookLM AI Plugin

Drive Google NotebookLM (https://notebook.google.com) from the terminal. Both notebook.google.com and notebooklm.google.com notebook URLs are accepted.

Supports:

  • Chat with Notebook AI (source-grounded Q&A with citations)
  • Slide Deck generation (PPTX/PDF)
  • Audio Overview (M4A — deep dive, brief, critique, debate formats)
  • Video Overview (MP4 — auto, classic, whiteboard, kawaii, anime, watercolor, retro_print, heritage, paper_craft styles)
  • Mind Map (JSON tree)
  • Flashcards / Quiz (interactive HTML)
  • Infographic (PNG — landscape, portrait, square; 11 visual styles)
  • Report (Markdown — briefing doc, study guide, blog post, custom prompt)
  • Data Table (CSV)
  • Source management (add URLs, YouTube, files, pasted text; list, delete)
  • Fast/Deep web research with auto-import
  • Notes management (create, update, delete, list)
  • Notebook library management (add, list, search, activate) + listing your account's notebooks

All commands run from this skill directory:

cd <skill-dir>   # the folder containing SKILL.md
npx -y bun scripts/main.ts <command> [options]

Quick start

# 1. Authenticate (opens Chrome for Google login; cookies are cached)
npx -y bun scripts/main.ts login

# 2. Check the session and see your notebooks (ids + source counts)
npx -y bun scripts/main.ts notebooks remote

# 3. Save one as the default
npx -y bun scripts/main.ts notebooks add https://notebook.google.com/notebook/<id> --name "My Research"

# 4. Use it
npx -y bun scripts/main.ts chat --question "What are the key findings?"
npx -y bun scripts/main.ts generate slide_deck --output slides.pdf
npx -y bun scripts/main.ts generate audio --format deep_dive --length long
npx -y bun scripts/main.ts generate quiz --difficulty medium --quantity more --output quiz.html
npx -y bun scripts/main.ts generate data_table --instructions "Compare the frameworks" --output table.csv

Authentication

login launches Chrome (with a dedicated profile under the data dir) and waits for you to sign in at notebook.google.com, then captures the Google session cookies. Cookies expire after a few weeks; any command that hits a login redirect tells you to run login --force.

Read the full file on GitHub · 223 lines

Changes

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.

  1. 6d ago First seen · 223 lines · 117 tokens per session scan A 19c9ef3677a0

Subscribe to this mod's changes

notebooklm is a skill published in the GitHub repository proyecto26/notebooklm-ai-plugin (64 stars, last pushed 8d ago), licensed MIT. It adds 117 tokens to every session and 2,654 once invoked, about $0.0006 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.