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 skills add fredchu/claude-dotfiles --skill notebooklmgit clone --depth 1 https://github.com/fredchu/claude-dotfilesWrote 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/fredchu/claude-dotfiles/notebooklm)<a href="https://agentmods.dev/skills/fredchu/claude-dotfiles/notebooklm"><img src="https://agentmods.dev/badge/skills/fredchu/claude-dotfiles/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.
<a href="https://agentmods.dev/skills/fredchu/claude-dotfiles/notebooklm"><img src="https://agentmods.dev/badge/skills/fredchu/claude-dotfiles/notebooklm.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00057 | $0.09539 |
| Opus 5.5 | $0.00023 | $0.03816 |
| Sonnet 5.5 | $0.00011 | $0.01908 |
| Haiku 4.5 | $0.00006 | $0.00954 |
Grade A, and why
notebooklm scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
# Get the latest release tag (using curl) How it starts
The opening of the file, as written. The whole thing — 661 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM Automation
Complete programmatic access to Google NotebookLM—including capabilities not exposed in the web UI. Create notebooks, add sources (URLs, YouTube, PDFs, audio, video, images), chat with content, generate all artifact types, and download results in multiple formats.
Installation
From PyPI (Recommended for AI agents — Python-version-aware):
pip install "notebooklm-py[browser]" # mandatory; errors must propagate
# [cookies] (rookiepy) is optional and known to FAIL TO BUILD on Python 3.13+.
# Skip it deliberately on 3.13+ rather than swallowing the error — that lets
# *real* install failures (typos, network, PyPI outages) surface for the agent.
if python -c "import sys; sys.exit(0 if sys.version_info < (3, 13) else 1)"; then
pip install "notebooklm-py[cookies]" # errors propagate
else
echo "Skipping [cookies] on Python 3.13+ (rookiepy unavailable). Use 'notebooklm login' interactively."
fi
Full install matrix (extras, headless servers, contributor flow): Installation guide on GitHub.
From GitHub (use latest release tag, NOT main branch):
# Get the latest release tag (using curl)
LATEST_TAG=$(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 installinstalls this skill into the supported local agent directories managed by the CLI.npx skills add teng-lin/notebooklm-pyinstalls 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.
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.
- 1mo ago First seen · 661 lines · 57 tokens per session scan A 7f3eec6a97fd
notebooklm is a skill published in the GitHub repository fredchu/claude-dotfiles (2 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 9,539 once invoked, about $0.0002 per session on Opus 5.5. 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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