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/proyecto26/notebooklm-ai-plugin/notebooklmnpx skills add proyecto26/notebooklm-ai-plugin --skill notebooklmgit clone --depth 1 https://github.com/proyecto26/notebooklm-ai-pluginWrote 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/proyecto26/notebooklm-ai-plugin/notebooklm)<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>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 | $0.00117 | $0.02654 |
| Opus 5 | $0.00059 | $0.01327 |
| Sonnet 5 | $0.00023 | $0.00531 |
| Haiku 4.5 | $0.00012 | $0.00265 |
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.
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 — 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.
What ships with it
15 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.
- scripts/artifact-generator.ts 22 KB runs code
- scripts/auth.ts 15 KB runs code
- scripts/chat.ts 9.7 KB runs code
- scripts/constants.ts 2.1 KB runs code
- scripts/cookie-store.ts 5.9 KB runs code
- scripts/get-cookie.ts 691 B runs code
- scripts/main.ts 43 KB runs code
- scripts/notebook-manager.ts 5.5 KB runs code
- scripts/notes-manager.ts 5.1 KB runs code
- scripts/paths.ts 1.6 KB runs code
- scripts/research-manager.ts 9.0 KB runs code
- scripts/rpc-client.ts 17 KB runs code
- scripts/rpc-types.ts 6.2 KB runs code
- scripts/source-manager.ts 12 KB runs code
- scripts/types.ts 2.5 KB runs code
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.
- 6d ago First seen · 223 lines · 117 tokens per session scan A 19c9ef3677a0
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.
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