Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/DorianSchlede/nexus-templatenpx agentmods add skills/dorianschlede/nexus-template/notebooklm-connectWrote 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/dorianschlede/nexus-template/notebooklm-connect)<a href="https://agentmods.dev/skills/dorianschlede/nexus-template/notebooklm-connect"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/notebooklm-connect/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/dorianschlede/nexus-template/notebooklm-connect"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/notebooklm-connect.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 | $0.00017 | $0.01465 |
| Opus 5 | $0.00009 | $0.00732 |
| Sonnet 5 | $0.00003 | $0.00293 |
| Haiku 4.5 | $0.00002 | $0.00146 |
Grade A, and why
notebooklm-connect 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 8d 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 — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM Connect
Meta-skill for NotebookLM Enterprise operations. Routes to appropriate skills based on user intent.
Pre-Flight Check (ALWAYS FIRST)
Before any operation, verify configuration:
uv run python 00-system/skills/notebooklm/notebooklm-master/scripts/check_notebooklm_config.py --json
Parse ai_action field:
| ai_action | What to Do |
|---|---|
proceed_with_operation |
Continue with user's request |
install_gcloud |
Guide: "Install gcloud from https://cloud.google.com/sdk/docs/install" |
run_gcloud_auth |
Run: gcloud auth login |
configure_project |
Ask for project number, save to .env |
run_setup_wizard |
Run: python .../setup_notebooklm.py |
Workflow Routing
Match user intent to appropriate workflow:
Workflow 1: Create Notebook
Triggers: "create notebook", "new notebook", "make notebook"
Action:
uv run python 00-system/skills/notebooklm/notebooklm-create-notebook/scripts/create_notebook.py --title "TITLE"
Workflow 2: List Notebooks
Triggers: "list notebooks", "show notebooks", "my notebooks", "recent notebooks"
Action:
uv run python 00-system/skills/notebooklm/notebooklm-list-notebooks/scripts/list_notebooks.py
Workflow 3: Get Notebook Details
Triggers: "get notebook", "show notebook", "notebook details"
Action:
uv run python 00-system/skills/notebooklm/notebooklm-get-notebook/scripts/get_notebook.py --notebook-id "ID"
Workflow 4: Delete Notebooks
Triggers: "delete notebook", "remove notebook"
Action:
uv run python 00-system/skills/notebooklm/notebooklm-delete-notebooks/scripts/delete_notebooks.py --notebook-ids "ID1,ID2"
Workflow 5: Share Notebook
Triggers: "share notebook", "give access", "add collaborator"
Action:
uv run python 00-system/skills/notebooklm/notebooklm-share-notebook/scripts/share_notebook.py --notebook-id "ID" --email "[email protected]" --role "READER"
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.
- 8d ago First seen · 225 lines · 17 tokens per session scan A b5d2e199b6eb
notebooklm-connect is a skill published in the GitHub repository DorianSchlede/nexus-template (8 stars, last pushed 7mo ago), licensed MIT. It adds 17 tokens to every session and 1,465 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…