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

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 100 skills.

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 1,762 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	$0.01762
Opus 5	$0.00037	$0.00881
Sonnet 5	$0.00015	$0.00352
Haiku 4.5	$0.00007	$0.00176

Measured yesterday against content hash 9948515ef846, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 yesterday.

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 · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 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 · 70 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.

yesterday 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 (6 stars, last pushed 2d ago), licensed MIT. It adds 74 tokens to every session and 1,762 once invoked, about $0.0004 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 2026-09-09.

Learning and teaching Research ai-agents knowledge-management obsidian personal-knowledge-management second-brain

wiki-ingest

Ingest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer. Triggers: ingest, ingest this file, ingest this…

AgriciDaniel/claude-obsidian · 88 tokens

autoresearch

Run a bounded, source-grounded research loop, draft a cited dossier, and optionally propose a separately reviewed canonical vault merge. Use when the user wants autonomous or deep research that may access the public web. Triggers: /autoresearch, autoresearch, research this topic, deep dive into, investigate, find…

AgriciDaniel/claude-obsidian · 80 tokens

canvas

Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes. Use for canvas status, canvas lists, visual maps, zones, spatial layouts, adding vault notes or media to a .canvas file, and requests such as create canvas, add to canvas, or put this on the canvas.

AgriciDaniel/claude-obsidian · 72 tokens

wiki-retrieve

Build and query a vault-local contextual BM25 retrieval index with optional multilingual Nomic cosine reranking; use for retrieve, hybrid retrieval, BM25, rerank, contextual retrieval, chunk search, vault search, semantic search, find relevant passages, or retrieval diagnostics. Derived caches stay under .vault-meta…

AgriciDaniel/claude-obsidian · 81 tokens

wiki

Initialize, adopt, and route work for a separate Obsidian knowledge vault through the portable claude-obsidian core. Use for vault setup, scaffolding, workspace selection, cross-project configuration, or choosing the correct wiki sub-skill. Triggers: /wiki, set up wiki, scaffold vault, create knowledge base, adopt…

AgriciDaniel/claude-obsidian · 84 tokens

defuddle

Plan and, with explicit network consent, use an optional external Defuddle cleaner to extract article-like HTTPS pages as Markdown. Use for defuddle, clean this URL, strip page clutter, readable Markdown from a web page, or preparing a web source for later wiki ingestion.

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