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notebooklm

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sanjay3290·v1.0.0·other·Apache-2.0

Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares N

Install on your platform

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  1. 1

    Run this in your terminal

    terminal
    $

What we know about this skill

Publisher

sanjay3290

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: accounts.google.com, notebooklm.google.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    notebooklm.google.comundeclaredaccounts.google.comundeclared

    What it found (3 of 9)

    • skills/notebooklm/scripts/auth_manager.py:74contacts notebooklm.google.com
      if url.startswith("https://notebooklm.google.com/") and "accounts.google.com" not in url:
    • skills/notebooklm/scripts/common.py:18contacts notebooklm.google.com
      NOTEBOOKLM_HOME_URL = "https://notebooklm.google.com/"
    • skills/notebooklm/scripts/notebook_manager.py:30contacts notebooklm.google.com
      return {"error": "Invalid NotebookLM URL. Expected https://notebooklm.google.com/notebook/<id>"}

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned sanjay3290/ai-skills at 281d88df19.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
281d88df19
Manifest
skills/notebooklm/SKILL.md
Scanned
12 files, 3,588 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows you to interact with Google NotebookLM notebooks directly through an AI agent. It enables querying of notebook content, managing persistent authentication profiles for accessing NotebookLM, and synchronizing data from the source notebooks. Furthermore, it supports batch or multiple queries and structured exports of information retrieved from the notebooks.

When to use it

  • A user asks a question that requires information contained within their Google NotebookLM notebooks (e.g., "Ask my notebook about project X").
  • You need to retrieve specific data points or insights stored in a NotebookLM notebook and present them in a structured format.
  • You want to automate the process of querying multiple NotebookLM notebooks for recurring tasks.
  • A user shares a NotebookLM notebook with you, and you need to access its contents programmatically.

Key capabilities

  • Query Google NotebookLM notebooks
  • Persistent profile authentication
  • Source synchronization
  • Batch/multi queries
  • Structured exports

Example prompts

  • "What are the key findings in my 'Market Research' notebook?"
  • "Ask my notebook about the status of the 'Alpha Project'."
  • "Export all task lists from my NotebookLM notebooks into a CSV file."

Tips & gotchas

  • Ensure you have valid Google NotebookLM access credentials configured for persistent authentication.
  • The skill's effectiveness depends on the structure and organization of your NotebookLM notebooks; poorly organized notebooks may yield less useful results.