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.
npx agentmods add skills/robinsadeghpour/content-workflow/notebooklm-pynpx skills add robinsadeghpour/content-workflow --skill notebooklm-pygit clone --depth 1 https://github.com/robinsadeghpour/content-workflowWrote 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.
[](https://agentmods.dev/skills/robinsadeghpour/content-workflow/notebooklm-py)<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="Measured on agentmods" height="20"></a>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 | $0.00055 | $0.06837 |
| Opus 5 | $0.00028 | $0.03419 |
| Sonnet 5 | $0.00011 | $0.01367 |
| Haiku 4.5 | $0.00006 | $0.00684 |
Grade A, and why
notebooklm-py scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
# Get the latest release tag (using curl) How it starts
The opening of the file, as written. The whole thing — 584 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM Automation
Complete programmatic access to Google NotebookLM—including capabilities not exposed in the web UI. Create notebooks, add sources (URLs, YouTube, PDFs, audio, video, images), chat with content, generate all artifact types, and download results in multiple formats.
Installation
From PyPI (Recommended):
pip install notebooklm-py
From GitHub (use latest release tag, NOT main branch):
# Get the latest release tag (using curl)
LATEST_TAG=$(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 installinstalls this skill into the supported local agent directories managed by the CLI.npx skills add teng-lin/notebooklm-pyinstalls 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 |
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.
- 6d ago First seen · 584 lines · 55 tokens per session scan A 24a70c481b9b
notebooklm-py is a skill published in the GitHub repository robinsadeghpour/content-workflow (55 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 6,837 once invoked, about $0.0003 per session on Opus 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.
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