A connection to Google NotebookLM, a service that answers questions from documents added to a notebook. It provides answers grounded in those sources with citations.

For querying NotebookLM notebooks from Claude Code, managing the notebook library, and getting source-based answers with citations.

It limits answers to the notebook's documents, making it easier to trace where an answer came from and reducing unsupported claims.

notebooklm — Skill for Claude Code and Codex by walidboulanouar

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/walidboulanouar/Ay-Skills

agentmods

npx agentmods add skills/walidboulanouar/ay-skills/notebooklm

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/walidboulanouar/ay-skills/notebooklm/github.svg)](https://agentmods.dev/skills/walidboulanouar/ay-skills/notebooklm)

Your own site

<a href="https://agentmods.dev/skills/walidboulanouar/ay-skills/notebooklm"><img src="https://agentmods.dev/badge/skills/walidboulanouar/ay-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/walidboulanouar/ay-skills/notebooklm"><img src="https://agentmods.dev/badge/skills/walidboulanouar/ay-skills/notebooklm.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 1,059 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	$0.01059
Opus 5.5	$0.00020	$0.00424
Sonnet 5.5	$0.00010	$0.00212
Haiku 4.5	$0.00005	$0.00106

Measured 2mo ago against content hash 13a3b77df7c6, 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.

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 · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NotebookLM Research Assistant Skill

Interact with Google NotebookLM to query documentation with Gemini's source-grounded answers. Each question opens a fresh browser session, retrieves the answer exclusively from your uploaded documents, and closes.

Source: https://github.com/PleasePrompto/notebooklm-skill

Install

git clone https://github.com/PleasePrompto/notebooklm-skill ~/.claude/skills/notebooklm

The run.py wrapper auto-creates .venv, installs dependencies, and sets up Chromium on first run.

When to Use This Skill

Trigger when user:

Mentions NotebookLM explicitly
Shares NotebookLM URL (https://notebooklm.google.com/notebook/...)
Asks to query their notebooks/documentation
Wants to add documentation to NotebookLM library
Uses phrases like "ask my NotebookLM", "check my docs", "query my notebook"

CRITICAL: Always Use run.py Wrapper

NEVER call scripts directly. ALWAYS use python scripts/run.py [script]:

# CORRECT
python scripts/run.py auth_manager.py status
python scripts/run.py notebook_manager.py list
python scripts/run.py ask_question.py --question "..."

# WRONG — fails without venv
python scripts/auth_manager.py status

Core Workflow

Step 1: Check Authentication

python scripts/run.py auth_manager.py status

Step 2: Authenticate (One-Time Setup)

# Browser MUST be visible for manual Google login
python scripts/run.py auth_manager.py setup

Tell user: "A browser window will open for Google login."

Step 3: Manage Notebook Library

# List all notebooks
python scripts/run.py notebook_manager.py list

# Add notebook — ALL parameters required
python scripts/run.py notebook_manager.py add \
  --url "https://notebooklm.google.com/notebook/..." \
  --name "Descriptive Name" \
  --description "What this notebook contains" \
  --topics "topic1,topic2,topic3"

# Smart Add (discover content first, then add)
python scripts/run.py ask_question.py --question "What topics are covered in this notebook?" --notebook-url "[URL]"

# Search, activate, remove
python scripts/run.py notebook_manager.py search --query "keyword"
python scripts/run.py notebook_manager.py activate --id notebook-id
python scripts/run.py notebook_manager.py remove --id notebook-id

Read the full file on GitHub · 146 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.

2mo ago First seen · 146 lines · 49 tokens per session scan A 13a3b77df7c6

Subscribe to this mod's changes

notebooklm is a skill published in the GitHub repository walidboulanouar/Ay-Skills (93 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 1,059 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.

Claude Code Research claude claude-code-skills claude-skills codex

notebooklm next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
notebooklmwalidboulanouar/Ay-Skills	Skill	93	1mo ago	MIT	A	49	Claude Code, Codex
chief-data-officer-advisoralirezarezvani/claude-skills	Skill	29k	yesterday	MIT	A	61	Claude Code
contract-and-proposal-writeralirezarezvani/claude-skills	Skill	29k	yesterday	MIT	A	47	Claude Code
vpe-advisoralirezarezvani/claude-skills	Skill	29k	yesterday	MIT	A	60	Claude Code
general-counsel-advisoralirezarezvani/claude-skills	Skill	29k	yesterday	MIT	A	68	Claude Code
strategic-alignmentalirezarezvani/claude-skills	Skill	29k	yesterday	MIT	A	38	Claude Code
board-meetingalirezarezvani/claude-skills	Skill	29k	yesterday	MIT	A	49	Claude Code

notebooklm

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

NotebookLM Research Assistant Skill

Install

When to Use This Skill

CRITICAL: Always Use run.py Wrapper

Core Workflow

Step 1: Check Authentication

Step 2: Authenticate (One-Time Setup)

Step 3: Manage Notebook Library

What this file has done since we first saw it

notebooklm compared with skills from other repositories