content-workflow: Skill for Claude Code

.claude/skills/notebooklm-py/SKILL.md

notebooklm-py is a skill for Claude Code from robinsadeghpour/content-workflow. It costs 55 tokens per session (6,837 once invoked), scanned A, original, MIT.

A tool for automating Google NotebookLM, a service that lets you work with collections of sources. It can add sources such as web pages, videos, PDFs, audio, and images, then generate and download different kinds of outputs.

In plain words
What is it for?
Use it to create notebooks, add research sources, chat with the collected material, generate outputs, and download them in different formats.
Why use it?
It removes repetitive manual work when building notebooks, loading reference material, asking questions about it, or exporting results.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: model in frontmatter; mentions subagents.

This is robinsadeghpour/content-workflow's own configuration. It tells Claude Code how to work on content-workflow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything content-workflow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to robinsadeghpour/content-workflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/robinsadeghpour/content-workflow/main/.claude/skills/notebooklm-py/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/robinsadeghpour/content-workflow

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.

agentmods badge for notebooklm-py

README.md
[![agentmods](https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/notebooklm-py/github.svg)](https://agentmods.dev/skills/robinsadeghpour/content-workflow/notebooklm-py)
Your own site
<a href="https://agentmods.dev/skills/robinsadeghpour/content-workflow/notebooklm-py"><img src="https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/notebooklm-py/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.

agentmods 80×15 button for notebooklm-py

Your own site · 80×15
<a href="https://agentmods.dev/skills/robinsadeghpour/content-workflow/notebooklm-py"><img src="https://agentmods.dev/badge/skills/robinsadeghpour/content-workflow/notebooklm-py.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,837 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.06837
Opus 5.5 $0.00022 $0.02735
Sonnet 5.5 $0.00011 $0.01367
Haiku 4.5 $0.00006 $0.00684

Measured 2mo ago against content hash 24a70c481b9b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

notebooklm-py 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 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.

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)
.claude/skills/notebooklm-py/SKILL.md · 584 lines

How it starts

The opening of the file, as written. The whole thing — 584 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):

pip install notebooklm-py

From GitHub (use latest release tag, NOT main branch):

# Get the latest release tag (using curl)
LATEST_TAG=$(curl -s https://api.github.com/repos/teng-lin/notebooklm-py/releases/latest | grep '"tag_name"' | cut -d'"' -f4)
pip install "git+https://github.com/teng-lin/notebooklm-py@${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 install installs this skill into the supported local agent directories managed by the CLI.
  • npx skills add teng-lin/notebooklm-py installs 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.

CLI-managed install:

notebooklm skill install

Prerequisites

IMPORTANT: Before using any command, you MUST authenticate:

notebooklm login          # Opens browser for Google OAuth
notebooklm list           # Verify authentication works

If commands fail with authentication errors, re-run notebooklm login.

CI/CD, Multiple Accounts, and Parallel Agents

For automated environments, multiple accounts, or parallel agent workflows:

Variable Purpose
NOTEBOOKLM_HOME Custom config directory (default: ~/.notebooklm)
NOTEBOOKLM_PROFILE Active profile name (default: default)
NOTEBOOKLM_AUTH_JSON Inline auth JSON - no file writes needed

Read the full file on GitHub · 584 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.

  1. 2mo ago First seen · 584 lines · 55 tokens per session scan A 24a70c481b9b

Subscribe to this mod's changes

notebooklm-py is a skill published in the GitHub repository robinsadeghpour/content-workflow (54 stars, last pushed 6mo ago), licensed MIT. It adds 55 tokens to every session and 6,837 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 2026-08-30.

Related

notebooklm-py compared with skills from other repositories

notebooklm-py next to 6 skills from other repositories
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