What is nblm AGENTS.md?

Repository instructions for nblm, a tool that lets coding agents ask Google NotebookLM questions and receive answers grounded in its sources. NotebookLM is Google's workspace for querying a set of reference documents.

Use it to authenticate, manage NotebookLM sessions, and ask source-based questions through the project's run.py wrapper.

The project requires all NotebookLM access to use its own scripts, which keeps questions and answers within the repository's intended workflow and environment.

How magicseek/nblm configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to magicseek/nblm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/magicseek/nblm/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/magicseek/nblm

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/magicseek/nblm/agents-md/github.svg)](https://agentmods.dev/instructions/magicseek/nblm/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/magicseek/nblm/agents-md"><img src="https://agentmods.dev/badge/instructions/magicseek/nblm/agents-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/magicseek/nblm/agents-md"><img src="https://agentmods.dev/badge/instructions/magicseek/nblm/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,454 This file is loaded in full into every session.

When invoked 1,454 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original 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.

Model	Per session	Once invoked
Fable 5.1	$0.01454	$0.01454
Opus 5.5	$0.00582	$0.00582
Sonnet 5.5	$0.00291	$0.00291
Haiku 4.5	$0.00145	$0.00145

Measured 2mo ago against content hash 7ea2b49d8c14, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nblm AGENTS.md 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 2mo 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.

AGENTS.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to AI coding agents when working with code in this repository. It mirrors CLAUDE.md to ensure all AI agents have the same context.

⚠️ IRON RULE - NotebookLM Usage

When working in this repository and needing to reference or query NotebookLM, you MUST use the skill provided by this repo itself. Do not use external NotebookLM tools or services - always use the scripts and tooling defined here.

This is a non-negotiable project law.

Project Overview

nblm - enables AI coding agents to query Google NotebookLM for source-grounded, citation-backed answers. Uses the agent-browser daemon (Node.js) and a Unix socket protocol for automation.

Session Model: Stateless per question; the daemon keeps browser state in memory until it is stopped.

Development Commands

Running Scripts (Always use run.py wrapper)

# CORRECT - Always use run.py:
python scripts/run.py auth_manager.py status
python scripts/run.py notebook_manager.py list
python scripts/run.py ask_question.py --question "..."

# WRONG - Will fail without venv:
python scripts/auth_manager.py status

The run.py wrapper automatically creates .venv, installs Python deps, and installs Node.js deps if needed.

Manual Environment Setup (if automatic fails)

python -m venv .venv
source .venv/bin/activate  # Linux/Mac
pip install -r requirements.txt
npm install
npm run install-browsers

Common Script Commands

# Authentication
python scripts/run.py auth_manager.py setup                     # Default: Google
python scripts/run.py auth_manager.py setup --service zlibrary
python scripts/run.py auth_manager.py status                    # Show all services
python scripts/run.py auth_manager.py status --service zlibrary
python scripts/run.py auth_manager.py clear --service zlibrary  # Clear auth data

# Notebook Library
python scripts/run.py notebook_manager.py list
python scripts/run.py notebook_manager.py add --url URL --name NAME --description DESC --topics TOPICS
python scripts/run.py notebook_manager.py search --query KEYWORD
python scripts/run.py notebook_manager.py activate --id ID
python scripts/run.py notebook_manager.py remove --id ID

# Query
python scripts/run.py ask_question.py --question "..." [--notebook-id ID] [--notebook-url URL] [--show-browser]

# Source Manager
python scripts/run.py source_manager.py add --url "https://zh.zlib.li/book/..."
python scripts/run.py source_manager.py add --file "/path/to/book.pdf"

# Cleanup
python scripts/run.py cleanup_manager.py                    # Preview
python scripts/run.py cleanup_manager.py --confirm          # Execute
python scripts/run.py cleanup_manager.py --preserve-library # Keep notebooks

Read the full file on GitHub · 162 lines

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.

2mo ago First seen · 162 lines · 1,454 tokens per session scan A 7ea2b49d8c14

Subscribe to this mod's changes

nblm AGENTS.md is an instructions file published in the GitHub repository magicseek/nblm (34 stars, last pushed 8mo ago), licensed MIT. It adds 1,454 tokens to every session, about $0.0058 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 2026-08-30.

Learning and teaching Research

nblm AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
nblm AGENTS.mdmagicseek/nblm	Instructions file	34	8mo ago	MIT	A	1,454	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

nblm: Instructions file for Codex