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 GalaxyRuler/Galactic-skills --skill gemini-notebook-enterprisegit clone --depth 1 https://github.com/GalaxyRuler/Galactic-skillsWrote 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/galaxyruler/galactic-skills/gemini-notebook-enterprise)<a href="https://agentmods.dev/skills/galaxyruler/galactic-skills/gemini-notebook-enterprise"><img src="https://agentmods.dev/badge/skills/galaxyruler/galactic-skills/gemini-notebook-enterprise/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/galaxyruler/galactic-skills/gemini-notebook-enterprise"><img src="https://agentmods.dev/badge/skills/galaxyruler/galactic-skills/gemini-notebook-enterprise.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00123 | $0.01704 |
| Opus 5 | $0.00062 | $0.00852 |
| Sonnet 5 | $0.00025 | $0.00341 |
| Haiku 4.5 | $0.00012 | $0.00170 |
Grade A, and why
gemini-notebook-enterprise 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 12d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Notebook Enterprise
Overview
Three layers get confused constantly. Separate them before writing any code:
- Gemini Notebook / NotebookLM — the consumer product. No supported programmatic API.
- Gemini Notebook Enterprise — a Google Cloud product served by the Discovery Engine API. This is the only supported automation surface.
- Your agent (Codex, Claude Code, a cron job) — an execution plane that calls that API. It is never an alternative Notebook provider.
Core principle: the documented surface is larger than people assume and smaller than they hope; treat notebook Q&A as a negotiated capability, not an assumed endpoint. Inventory, provenance, source administration, health monitoring — and generated artifacts over selected sources (audio overview) — are documented today. Structured answer-plus-citations is not. Make query a capability the provider reports rather than a URL you guess.
When to use
- Enumerating notebooks/sources, or reconciling a local inventory against Google
- Adding text/web/file/Drive/YouTube sources; removing sources; sharing notebooks
- A source is stuck
PENDING, failed ingestion, or a call returns 401/403/429 - Designing agent access (local script vs STDIO MCP vs remote OAuth MCP broker)
- Someone asks for "NotebookLM Q&A over these sources, automated"
Not for: consumer NotebookLM automation via cookies or browser RPCs. Refuse that path and say why (see Hard rules).
Terminology — never blur these
| Term | Means |
|---|---|
| Cloud project | The Google Cloud project — billing, IAM, quota boundary |
| Notebook | A notebook resource inside that project (what a user calls "my NotebookLM project") |
| Source | A document/URL/upload attached to one notebook |
| Selected source | An exact source resource name — never a fuzzy title match |
Resource names are the identity layer. Store and pass these, not titles:
projects/{project}/locations/{location}/notebooks/{notebook_id}
projects/{project}/locations/{location}/notebooks/{notebook_id}/sources/{source_id}
What ships with it
6 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.
- 12d ago First seen · 104 lines · 123 tokens per session scan A 3b9ffe5f0ce7
gemini-notebook-enterprise is a skill published in the GitHub repository GalaxyRuler/Galactic-skills (5 stars, last pushed 6d ago), licensed MIT. It adds 123 tokens to every session and 1,704 once invoked, about $0.0006 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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