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Notebooklm

Listed
b-open-io·vlatest·writing

NotebookLM generates rich, conversational AI notebooks for interactive learning and experimentation, boosting productivity & understanding.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add b-open-io/prompts --skill notebooklm --full-depth -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

b-open-io

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 2 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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: 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

    github.comsource hostnotebooklm.google.comundeclared

    What it found

    • modules/research/skills/notebooklm/scripts/auth_manager.py:114contacts notebooklm.google.com
      page.goto("https://notebooklm.google.com", wait_until="domcontentloaded")
    • modules/research/skills/notebooklm/scripts/auth_manager.py:260contacts notebooklm.google.com
      page.goto("https://notebooklm.google.com", wait_until="domcontentloaded", timeout=30000)

  • No obfuscated payloads: failed

    Contains 1 obfuscated or encoded payload pattern.

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

    What it found

    • modules/research/skills/notebooklm/.clawnet/unsigned-skill.json:411332-character base64 literal
      "opReturnHex": "6a2231394878696756345179427633744870515663554551797131707a5a56646f4175744db2132d2d2d0a6e616d653a206e6f7465626f6f6b6c6d0a76657273696f6e3a20312e3…

  • 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 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 b-open-io/prompts at 3e198cc712.

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

Commit
3e198cc712
Manifest
modules/research/skills/notebooklm/SKILL.md
Scanned
18 files, 3,840 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

NotebookLM Skill Guide

What it does

This skill enables AI agents to interact with Google's NotebookLM, a tool designed for creating summaries and generating insights from uploaded documents. It facilitates the processing of diverse file types to extract specific information and synthesize new content based on provided sources.

When to use it

  • Summarizing long research papers or legal contracts into concise executive briefs.
  • Generating quiz questions and study guides based on a set of lecture notes.
  • Creating marketing copy or blog posts derived from multiple product specification sheets.
  • Analyzing transcripts from meetings to identify action items and key decisions.

Key capabilities

  • Ingesting various document formats for analysis.
  • Synthesizing information across multiple uploaded files simultaneously.
  • Generating structured summaries and insights from source material.

Example prompts

  • "Summarize the main arguments in these three PDF reports regarding climate policy."
  • "Create a study guide based on the attached lecture transcripts, including five practice questions."
  • "Extract all action items and deadlines mentioned in this meeting recording."

Tips & gotchas

Ensure your uploaded documents are text-based or supported formats for accurate processing. For best results, provide clear context about the desired output format when requesting summaries or analysis.