A command-line connection to NotebookLM that turns a selected part of a knowledge vault into materials such as an audio overview, study guide, mind map, or report. NotebookLM is a Google research tool that creates explanations from supplied sources.

Use it to prepare a focused source packet, generate an audio digest or study material, and store the resulting files as derived notes.

It lets you create these materials without operating a browser manually. The results can be saved back into the vault for later use.

notebooklm — Skill for Claude Code by tonydzi/second-brain-starter-kit

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.

Any agent

npx skills add tonydzi/second-brain-starter-kit --skill notebooklm

Clone the repo

git clone --depth 1 https://github.com/tonydzi/second-brain-starter-kit

Made for: Claude Code.

Or install second-brain-skills, the plugin that ships this one along with the rest of its 248 skills, 3 agents, 1 plugin.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/notebooklm/github.svg)](https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/notebooklm)

Your own site

<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/notebooklm"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/notebooklm/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/tonydzi/second-brain-starter-kit/notebooklm"><img src="https://agentmods.dev/badge/skills/tonydzi/second-brain-starter-kit/notebooklm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,330 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00074	$0.02330
Opus 5.5	$0.00030	$0.00932
Sonnet 5.5	$0.00015	$0.00466
Haiku 4.5	$0.00007	$0.00233

Measured 6d ago against content hash 212a7de5c389, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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.

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 · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/notebooklm — audio/artifact layer over the Second Brain

🧒 When reporting to Anton end with a child-simple "In plain words" recap. (memory eli5-always)

NotebookLM = the artifact/explanation layer (Audio Overview, study guide, mind map, reports) over the vault — NOT memory or RAG (that stays Obsidian + e5/rerank + SQLite). Flow: vault → Claude Code curates a NARROW packet → NotebookLM → artifacts back into vault as Derived. Full state = memory [[notebooklm-integration]].

Rail = CLI (verified 2026-07-04, ADOPT — H16)

Programmatic CLI teng-lin/notebooklm-py (17k⭐, MIT). No Chrome window, no DOM, no truncation. Works on Anton's consumer a2@ PRO (no Enterprise API).

CLI binary: %USERPROFILE%\notebooklm-cli\venv\Scripts\notebooklm.exe (venv, v0.7.3). Set NB="%USERPROFILE%\notebooklm-cli\venv\Scripts\notebooklm.exe".
Auth: browser-cookies from Firefox (Chrome/Edge blocked by App-Bound Encryption + Chrome 146 DBSC, TPM-bound — Firefox does neither, see 02-Decisions\decision-2026-07-16-browser-automation-layer.md). Stored %USERPROFILE%\.notebooklm\profiles\default\storage_state.json, account [email protected].
Cookies expire ~every few weeks → on any auth/401 failure, RE-LOGIN: Anton opens NotebookLM in Firefox (a2@), then "$NB" login --browser-cookies firefox --account [email protected]. Verify with "$NB" auth check.
⚠️ Fallback if login --browser-cookies firefox picks the WRONG profile or fails to find the session (the CLI's cookie-reader can hit the same class of bug as generic browser_cookie3-style libs: it may grab a stale [ProfileN] Default=1 profile instead of the one Firefox actually launches — fixed once already in our own helper, see [[deterministic-script-gotchas]]): build storage_state.json directly with the fleet-shared, /tt-tested helper instead of fighting the CLI's own extractor:
```
python "$env:USERPROFILE\.claude\scripts\_shared\firefox_cookies.py" --domain google.com --export "%USERPROFILE%\.notebooklm\profiles\default\storage_state.json"
```
Then "$NB" auth check to confirm. Canon: 02-Decisions\decision-2026-07-16-browser-automation-layer.md, DR26-07-16-HUB-01. (Note: fb-post/x-post/fb-reply do NOT use this path — they drive Anton's live logged-in Chrome tab via Claude-in-Chrome MCP, a deliberate anti-ban choice; firefox_cookies.py/firefox_login.py are for API-style clients like this one, not for social posting.)
Anti-abuse: run from the hub (residential IP), no VPN.

Read the full file on GitHub · 82 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.

6d ago Changed 212a7de5c389
19d ago Changed · -1 lines 0624790fa9e1
20d ago Changed · +15 lines 53661926b874
23d ago Changed · -13 lines · -44 tokens per session c8f1320113cf
25d ago Changed 7cba28e325a8
1mo ago Changed · +11 lines · +44 tokens per session 5c49a385d03f
1mo ago First seen · 70 lines · 74 tokens per session scan A 9948515ef846

Subscribe to this mod's changes

notebooklm is a skill published in the GitHub repository tonydzi/second-brain-starter-kit (12 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 2,330 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-09.

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