A workflow that turns expert podcasts or other NotebookLM sources into personalized experiments and routines. NotebookLM is a research assistant that answers questions from supplied sources, while Obsidian is a note-taking app.

Use it to load a channel’s episodes, ask source-informed questions about a goal, create experiments, and track them in an Obsidian daily note.

It connects source-based research with a concrete plan, while keeping recommendations traceable to the material they came from.

notebooklm — Skill for Claude Code and Codex by ArtemXTech

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 ArtemXTech/personal-os-skills --skill notebooklm

Clone the repo

git clone --depth 1 https://github.com/ArtemXTech/personal-os-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin notebooklm-skill — /plugin install notebooklm-skill after adding the marketplace above.

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/artemxtech/personal-os-skills/notebooklm/github.svg)](https://agentmods.dev/skills/artemxtech/personal-os-skills/notebooklm)

Your own site

<a href="https://agentmods.dev/skills/artemxtech/personal-os-skills/notebooklm"><img src="https://agentmods.dev/badge/skills/artemxtech/personal-os-skills/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/artemxtech/personal-os-skills/notebooklm"><img src="https://agentmods.dev/badge/skills/artemxtech/personal-os-skills/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 1,571 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	$0.01571
Opus 5.5	$0.00030	$0.00628
Sonnet 5.5	$0.00015	$0.00314
Haiku 4.5	$0.00007	$0.00157

Measured 2mo ago against content hash f9f3704f12fe, 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 2mo ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/backfill_fulltext.py, scripts/extract_passages.py, scripts/import_sources.py, …), 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 · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NotebookLM - Expert Knowledge to Action

Turn any expert's content into a personalized protocol with experiments you actually run. Load 300 YouTube episodes into NotebookLM from terminal, run a cited interview about your goal, create experiments in your Obsidian daily note.

Video walkthrough: https://youtu.be/KRpZSvtMiTI

What This Does

Load sources from terminal. You can't just tell NotebookLM to add a YouTube channel. This skill does it. One command. 300 episodes.
Cited answers traced to exact transcript lines. Every recommendation links back to the exact episode and passage. Verifiable.
Expert-informed interviews. Claude queries NotebookLM with YOUR goal. Generates questions informed by the expert's research on your specific topic.
Experiments in Obsidian. Protocol becomes experiments in your daily note. Morning routine skill asks every day: how is this going?
Any expert, any domain. Huberman for health. Lenny for product. Onboarding docs for a new job. Same pattern.

Prerequisites

1. Install nlm CLI

uv tool install notebooklm-mcp-cli

Gives you the nlm command. See notebooklm-mcp-cli for details.

2. Install notebooklm-py (for notebook creation and channel loading)

pip install "notebooklm-py[browser]"
playwright install chromium

3. Authenticate

# nlm CLI auth (for queries and source listing)
nlm auth login

# notebooklm-py auth (for notebook creation and loading)
notebooklm login

Both open a browser window for Google login. nlm saves to its own config, notebooklm-py saves cookies to ~/.notebooklm/storage_state.json.

4. Obsidian Plugins

Dataview (required) - for dashboard queries and citation tables

Quick Start

# List your notebooks
nlm notebook list

# Ask a question with citations
nlm notebook query <notebook-id> "What does Huberman say about deep focus?" --json

# List sources
nlm source list <notebook-id> --json

Read the full file on GitHub · 178 lines

Files

What ships with it

9 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.

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.

2mo ago First seen · 178 lines · 74 tokens per session scan A f9f3704f12fe

Subscribe to this mod's changes

notebooklm is a skill published in the GitHub repository ArtemXTech/personal-os-skills (546 stars, last pushed 5d ago), licensed MIT. It adds 74 tokens to every session and 1,571 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 2026-08-30.

Research

notebooklm next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
notebooklmArtemXTech/personal-os-skills	Skill	546	5d ago	MIT	A	74	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code