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 skills add biggora/claude-plugins-registry --skill notebook-lmgit clone --depth 1 https://github.com/biggora/claude-plugins-registryWrote 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/biggora/claude-plugins-registry/notebook-lm)<a href="https://agentmods.dev/skills/biggora/claude-plugins-registry/notebook-lm"><img src="https://agentmods.dev/badge/skills/biggora/claude-plugins-registry/notebook-lm.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 | $0.00180 | $0.01976 |
| Opus 5 | $0.00090 | $0.00988 |
| Sonnet 5 | $0.00036 | $0.00395 |
| Haiku 4.5 | $0.00018 | $0.00198 |
Grade A, and why
notebook-lm 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM Skill
Provides full programmatic access to Google NotebookLM via the unofficial notebooklm-py library. Supports Python API and CLI — use the Python API for complex or multi-step workflows, CLI for quick one-off tasks.
Prerequisites
pip install "notebooklm-py[browser]"
playwright install chromium
# First-time auth (opens browser)
notebooklm login
Auth via env variable (CI/CD, no browser):
export NOTEBOOKLM_AUTH_JSON='{"cookies": [...]}'
Read references/auth.md for detailed authentication setup.
Quick Start Pattern
import asyncio
from notebooklm import NotebookLMClient
async def main():
async with await NotebookLMClient.from_storage() as client:
nb = await client.notebooks.create("My Research")
await client.sources.add_url(nb.id, "https://example.com/article", wait=True)
result = await client.chat.ask(nb.id, "Summarize the main points")
print(result.answer)
asyncio.run(main())
API Reference Summary
Client Structure
NotebookLMClient
├── .notebooks → NotebooksAPI
├── .sources → SourcesAPI
├── .artifacts → ArtifactsAPI
├── .chat → ChatAPI
├── .research → ResearchAPI
├── .notes → NotesAPI
└── .sharing → SharingAPI
Notebooks (client.notebooks)
| Method | Description |
|---|---|
list() |
List all notebooks |
create(title) |
Create new notebook → Notebook |
get(notebook_id) |
Get notebook details |
delete(notebook_id) |
Delete notebook |
rename(notebook_id, new_title) |
Rename notebook |
get_description(notebook_id) |
Get AI summary + suggested topics |
Sources (client.sources)
| Method | Description |
|---|---|
add_url(nb_id, url, wait=True) |
Add URL/YouTube source |
add_file(nb_id, path, wait=True) |
Add local file (PDF, txt, md, docx, etc.) |
add_text(nb_id, text, title, wait=True) |
Add pasted text |
add_drive(nb_id, drive_id, title) |
Add Google Drive document |
list(nb_id) |
List all sources |
get(nb_id, source_id) |
Get source details |
fulltext(nb_id, source_id) |
Get indexed text content |
refresh(nb_id, source_id) |
Refresh URL source |
delete(nb_id, source_id) |
Delete source |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 206 lines · 180 tokens per session scan A c6c6ba2803ca
notebook-lm is a skill published in the GitHub repository biggora/claude-plugins-registry (2 stars, last pushed 9d ago), licensed MIT. It adds 180 tokens to every session and 1,976 once invoked, about $0.0009 per session on Opus 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 2026-08-31.
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