notebooklm

notebooklm is a skill for Claude Code, Codex from fredchu/claude-dotfiles. It costs 57 tokens per session (9,539 once invoked), scanned A, original, MIT.

A programming interface for Google NotebookLM, a service that lets you study and ask questions about sources such as documents, websites, videos, and audio.

In plain words
What is it for?
Creating notebooks, adding sources, asking questions about them, generating available artifact types, and downloading results.
Why use it?
It lets an agent manage NotebookLM work through code, including tasks that are not available in its web interface.

Skill for Claude CodeCodex

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/fredchu/claude-dotfiles/notebooklm
Any agent
npx skills add fredchu/claude-dotfiles --skill notebooklm
Clone the repo
git clone --depth 1 https://github.com/fredchu/claude-dotfiles

Made for: Claude Code, Codex.

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/fredchu/claude-dotfiles/notebooklm.svg)](https://agentmods.dev/skills/fredchu/claude-dotfiles/notebooklm)
Your own site
<a href="https://agentmods.dev/skills/fredchu/claude-dotfiles/notebooklm"><img src="https://agentmods.dev/badge/skills/fredchu/claude-dotfiles/notebooklm.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,539 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00057 $0.09539
Opus 5 $0.00028 $0.04770
Sonnet 5 $0.00011 $0.01908
Haiku 4.5 $0.00006 $0.00954

Measured 4d ago against content hash 7f3eec6a97fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

notebooklm scanned grade A with 1 finding 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 4d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

# Get the latest release tag (using curl)
skills/notebooklm/SKILL.md · 661 lines

How it starts

The opening of the file, as written. The whole thing — 661 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NotebookLM Automation

Complete programmatic access to Google NotebookLM—including capabilities not exposed in the web UI. Create notebooks, add sources (URLs, YouTube, PDFs, audio, video, images), chat with content, generate all artifact types, and download results in multiple formats.

Installation

From PyPI (Recommended for AI agents — Python-version-aware):

pip install "notebooklm-py[browser]"   # mandatory; errors must propagate

# [cookies] (rookiepy) is optional and known to FAIL TO BUILD on Python 3.13+.
# Skip it deliberately on 3.13+ rather than swallowing the error — that lets
# *real* install failures (typos, network, PyPI outages) surface for the agent.
if python -c "import sys; sys.exit(0 if sys.version_info < (3, 13) else 1)"; then
    pip install "notebooklm-py[cookies]"   # errors propagate
else
    echo "Skipping [cookies] on Python 3.13+ (rookiepy unavailable). Use 'notebooklm login' interactively."
fi

Full install matrix (extras, headless servers, contributor flow): Installation guide on GitHub.

From GitHub (use latest release tag, NOT main branch):

# Get the latest release tag (using curl)
LATEST_TAG=$(curl -s https://api.github.com/repos/teng-lin/notebooklm-py/releases/latest | grep '"tag_name"' | cut -d'"' -f4)
# Includes [browser] so the interactive `notebooklm login` flow works.
pip install "notebooklm-py[browser] @ git+https://github.com/teng-lin/notebooklm-py@${LATEST_TAG}"

⚠️ DO NOT install from main branch (pip install git+https://github.com/teng-lin/notebooklm-py). The main branch may contain unreleased/unstable changes. Always use PyPI or a specific release tag, unless you are testing unreleased features.

Skill install methods:

  • notebooklm skill install installs this skill into the supported local agent directories managed by the CLI.
  • npx skills add teng-lin/notebooklm-py installs this skill from the GitHub repository into compatible agent skill directories.
  • If you are already reading this file inside an agent skill directory, the skill is already installed. You only need the Python package and authentication below.

Read the full file on GitHub · 661 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. 4d ago First seen · 661 lines · 57 tokens per session scan A 7f3eec6a97fd

Subscribe to this mod's changes

notebooklm is a skill published in the GitHub repository fredchu/claude-dotfiles (2 stars, last pushed 21d ago), licensed MIT. It adds 57 tokens to every session and 9,539 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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