notebooklm

notebooklm is a skill for Claude Code, Codex from LuisSambrano/antigravity-config. It costs 101 tokens per session (1,778 once invoked), scanned A, original, no licence file.

A Spanish-language system for creating and maintaining NotebookLM notebooks as a project's living record. NotebookLM is Google's tool for asking questions about a collection of provided sources.

In plain words
What is it for?
Use it when starting a project, recording decisions, creating a project notebook, or checking whether the project documentation agrees with itself.
Why use it?
It helps an AI keep project ideas, design decisions, and architecture notes consistent over time.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it when starting a project, recording decisions, creating a project notebook, or checking whether the project documentation agrees with itself.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/luissambrano/antigravity-config/notebooklm
Install

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.

Any agent
npx skills add LuisSambrano/antigravity-config --skill notebooklm
Clone the repo
git clone --depth 1 https://github.com/LuisSambrano/antigravity-config

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for notebooklm

README.md
[![agentmods](https://agentmods.dev/badge/skills/luissambrano/antigravity-config/notebooklm/github.svg)](https://agentmods.dev/skills/luissambrano/antigravity-config/notebooklm)
Your own site
<a href="https://agentmods.dev/skills/luissambrano/antigravity-config/notebooklm"><img src="https://agentmods.dev/badge/skills/luissambrano/antigravity-config/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.

agentmods 80×15 button for notebooklm

Your own site · 80×15
<a href="https://agentmods.dev/skills/luissambrano/antigravity-config/notebooklm"><img src="https://agentmods.dev/badge/skills/luissambrano/antigravity-config/notebooklm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,778 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.01778
Opus 5.5 $0.00040 $0.00711
Sonnet 5.5 $0.00020 $0.00356
Haiku 4.5 $0.00010 $0.00178

Measured 1mo ago against content hash b344888152c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

skills/tools/notebooklm/SKILL.md · 123 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 1mo ago First seen · 123 lines · 101 tokens per session scan A b344888152c6

Subscribe to this mod's changes

notebooklm is a skill published in the GitHub repository LuisSambrano/antigravity-config (7 stars, last pushed 4mo ago), with no licence file. It adds 101 tokens to every session and 1,778 once invoked, about $0.0004 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

agentic-storage

Agentic storage architecture — persistent memory for AI agents using MCP, immutable versioning, sandboxing, and intent validation. Covers the stateless problem in LLM agents, RAG limitations (read-only), MCP protocol (JSON-RPC, resources, tools), storage safety layers, and agent file system design. Source: IBM…

mahmoud20138/Tradecraft · 189 tokens

context-engineering

Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.

addyosmani/agent-skills · 43 tokens

gemini-api-dev

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, speech generation (TTS), voice design, voice replication, streaming responses, background research tasks, function calling, structured output, or migrating from…

google-gemini/gemini-skills · 85 tokens

comet-memory

A review step for deciding whether information should become durable personal memory. It can keep, update, forget, or skip memory candidates based on bounded evidence.

rpamis/comet · 38 tokens

relevance-coarse-filter

Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitoronly, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.

elvisun/newsjack · 57 tokens

gemini-watermark-remover

Remove visible Gemini image watermarks from local image files by calling the project's CLI. Use when the user wants an agent to clean one or more local Gemini-generated images and save de-watermarked output files.

GargantuaX/gemini-watermark-remover · 47 tokens