nblm: Instructions file for Claude Code

CLAUDE.md

nblm CLAUDE.md is an instructions file for Claude Code from magicseek/nblm. It costs 1,925 tokens per session, scanned A, original, MIT.

A set of project rules for an AI coding assistant working on magicseek/nblm, a tool that asks Google NotebookLM questions and returns answers grounded in provided sources.

In plain words
What is it for?
It guides repository changes, NotebookLM queries, authentication checks, notebook management, and other development work in the nblm project.
Why use it?
It keeps responses and project files in English and ensures NotebookLM is accessed through the repository’s own scripts. It also documents the approved commands for common development tasks.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is magicseek/nblm's own configuration. It tells Claude Code how to work on nblm itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nblm configures →

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/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/magicseek/nblm

Made for: Claude Code.

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Per session 1,925 This file is loaded in full into every session.
When invoked 1,925 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01925 $0.01925
Opus 5.5 $0.00770 $0.00770
Sonnet 5.5 $0.00385 $0.00385
Haiku 4.5 $0.00193 $0.00193

Measured 2mo ago against content hash 048632685a47, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nblm CLAUDE.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.

CLAUDE.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

⚠️ IRON RULE - English Output

Always respond in English. All code, documentation, comments, commit messages, and written output must be in English, regardless of the language used in user input.

⚠️ 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

# Multi-Account Management (Google)
python scripts/run.py auth_manager.py accounts list             # List all accounts
python scripts/run.py auth_manager.py accounts add              # Add new account
python scripts/run.py auth_manager.py accounts switch 1         # Switch by index
python scripts/run.py auth_manager.py accounts switch [email protected]  # Switch by email
python scripts/run.py auth_manager.py accounts remove 2         # Remove account

# Notebook Library (Smart Add auto-discovers metadata)
python scripts/run.py notebook_manager.py list
python scripts/run.py notebook_manager.py add <notebook-id-or-url>  # Auto-discovers name, description, topics
python scripts/run.py notebook_manager.py add <id> --name "Override Name" --topics "custom,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

# Artifacts (Audio/Podcast Generation)
python scripts/run.py artifact_manager.py list                              # List all artifacts
python scripts/run.py artifact_manager.py list --type audio                 # List audio only
python scripts/run.py artifact_manager.py get <artifact-id>                 # Get artifact details
python scripts/run.py artifact_manager.py delete <artifact-id>              # Delete artifact
python scripts/run.py artifact_manager.py generate --wait --output podcast.mp3  # Generate & download
python scripts/run.py artifact_manager.py generate --format DEBATE --length SHORT
python scripts/run.py artifact_manager.py generate --instructions "Focus on key findings"
python scripts/run.py artifact_manager.py status --task-id <task-id>        # Check generation status
python scripts/run.py artifact_manager.py download ./output.mp3             # Download latest audio

Read the full file on GitHub · 192 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.

  1. 2mo ago First seen · 192 lines · 1,925 tokens per session scan A 048632685a47

Subscribe to this mod's changes

nblm CLAUDE.md is an instructions file published in the GitHub repository magicseek/nblm (34 stars, last pushed 8mo ago), licensed MIT. It adds 1,925 tokens to every session, about $0.0077 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.

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