A skill for asking questions directly against Google NotebookLM notebooks from Claude Code. NotebookLM is Google’s tool for answering questions from documents, with citations to those sources.

Use it to log in, check status, list or manage local and remote notebooks, create or rename notebooks, and run source-grounded queries.

It keeps answers tied to notebook content and includes commands for authentication, notebook management, and multiple Google accounts.

nblm — Skill for Claude Code by magicseek

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 magicseek/nblm --skill nblm

Clone the repo

git clone --depth 1 https://github.com/magicseek/nblm

Made for: Claude Code.

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/magicseek/nblm/nblm/github.svg)](https://agentmods.dev/skills/magicseek/nblm/nblm)

Your own site

<a href="https://agentmods.dev/skills/magicseek/nblm/nblm"><img src="https://agentmods.dev/badge/skills/magicseek/nblm/nblm/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/magicseek/nblm/nblm"><img src="https://agentmods.dev/badge/skills/magicseek/nblm/nblm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,820 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	$0.00049	$0.05820
Opus 5.5	$0.00020	$0.02328
Sonnet 5.5	$0.00010	$0.01164
Haiku 4.5	$0.00005	$0.00582

Measured 2mo ago against content hash 1afee54177d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nblm 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 21 executable files (scripts/__init__.py, scripts/account_manager.py, scripts/agent_browser_client.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.

SKILL.md · 622 lines

How it starts

The opening of the file, as written. The whole thing — 622 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NotebookLM Quick Commands

Query Google NotebookLM for source-grounded, citation-backed answers.

Environment

All dependencies and authentication are handled automatically by run.py:

First run creates .venv and installs Python/Node.js dependencies
If Google auth is missing or expired, a browser window opens automatically
No manual pre-flight steps required

Usage

/nblm <command> [args]

Commands

Notebook Management

Command	Description
`login`	Authenticate with Google
`status`	Show auth and library status
`accounts`	List all Google accounts
`accounts add`	Add a new Google account
`accounts switch <id>`	Switch active account (by index or email)
`accounts remove <id>`	Remove a Google account
`accounts use <id>`	Set agent-specific active account (OpenClaw isolation)
`accounts clear`	Clear agent-specific account override
`local`	List notebooks in local library
`remote`	List all notebooks from NotebookLM API
`create <name>`	Create a new notebook
`delete [--id ID]`	Delete a notebook
`rename <name> [--id ID]`	Rename a notebook
`summary [--id ID]`	Get AI-generated summary
`describe [--id ID]`	Get description and suggested topics
`add <url-or-id>`	Add notebook to local library (auto-detects URL vs notebook ID)
`activate <id>`	Set active notebook

Source Management

Command	Description
`sources [--id ID]`	List sources in notebook
`upload <file>`	Upload a single file
`upload <folder>`	Sync a folder of files to NotebookLM
`upload-zlib <url>`	Download from Z-Library and upload
`upload-url <url>`	Add URL as source
`upload-youtube <url>`	Add YouTube video as source
`upload-text <title> [--content TEXT]`	Add text as source
`source-text <source-id>`	Get full indexed text
`source-guide <source-id>`	Get AI summary and keywords
`source-rename <source-id> <name>`	Rename a source
`source-refresh <source-id>`	Re-fetch URL content
`source-delete <source-id>`	Delete a source

Read the full file on GitHub · 622 lines

Files

What ships with it

24 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 · 622 lines · 49 tokens per session scan A 1afee54177d3

Subscribe to this mod's changes

nblm is a skill published in the GitHub repository magicseek/nblm (34 stars, last pushed 8mo ago), licensed MIT. It adds 49 tokens to every session and 5,820 once invoked, about $0.0002 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

nblm next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
nblmmagicseek/nblm	Skill	34	8mo ago	MIT	A	49	Claude Code
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	today	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	today	MIT	A	103	Claude Code