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 giuseppe-trisciuoglio/developer-kit --skill notebooklmgit clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kitWrote 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/giuseppe-trisciuoglio/developer-kit/notebooklm)<a href="https://agentmods.dev/skills/giuseppe-trisciuoglio/developer-kit/notebooklm"><img src="https://agentmods.dev/badge/skills/giuseppe-trisciuoglio/developer-kit/notebooklm/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.
<a href="https://agentmods.dev/skills/giuseppe-trisciuoglio/developer-kit/notebooklm"><img src="https://agentmods.dev/badge/skills/giuseppe-trisciuoglio/developer-kit/notebooklm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk warn
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 | $0.00100 | $0.02701 |
| Opus 5 | $0.00050 | $0.01350 |
| Sonnet 5 | $0.00020 | $0.00540 |
| Haiku 4.5 | $0.00010 | $0.00270 |
Grade A, and why
notebooklm 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 today.
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 — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM Integration
Interact with Google NotebookLM for advanced RAG capabilities — query project documentation, manage research sources, and retrieve AI-synthesized information from notebooks.
Overview
This skill integrates with the notebooklm-mcp-cli tool (nlm CLI) to provide programmatic access to Google NotebookLM. It enables agents to manage notebooks, add sources, perform contextual queries, and retrieve generated artifacts like audio podcasts or reports.
When to Use
Use this skill when:
- Querying project documentation stored in Google NotebookLM
- Retrieving AI-synthesized information from notebooks (e.g., summaries, Q&A)
- Managing notebooks: creating, listing, renaming, or deleting
- Adding sources to notebooks: URLs, text, files, YouTube, Google Drive
- Generating studio content: audio podcasts, video explainers, reports, quizzes
- Downloading generated artifacts (audio, video, reports, mind maps)
- Performing research queries across web or Google Drive
- Checking freshness and syncing Google Drive sources
- An agent is tasked with using documentation stored in NotebookLM for implementation
Trigger phrases: "query notebooklm", "search notebook", "add source to notebook", "create podcast from notebook", "generate report from notebook", "nlm query"
Prerequisites
Installation
# Install via uv (recommended)
uv tool install notebooklm-mcp-cli
# Or via pip
pip install notebooklm-mcp-cli
# Verify installation
nlm --version
Authentication
# Login — opens Chrome for cookie extraction
nlm login
# Verify authentication
nlm login --check
# Use named profiles for multiple Google accounts
nlm login --profile work
nlm login --profile personal
nlm login switch work
Diagnostics
# Run diagnostics if issues occur
nlm doctor
nlm doctor --verbose
⚠️ Important: This tool uses internal Google APIs. Cookies expire every ~2-4 weeks — run
nlm loginagain when operations fail. Free tier has ~50 queries/day rate limit.
What ships with it
1 file 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.
- today First seen · 355 lines · 100 tokens per session scan A 8b3cf32e8f44
notebooklm is a skill published in the GitHub repository giuseppe-trisciuoglio/developer-kit (343 stars, last pushed yesterday), licensed MIT. It adds 100 tokens to every session and 2,701 once invoked, about $0.0005 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 2026-09-10.
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