notebooklm-py: Instructions file for Claude Code

CLAUDE.md

notebooklm-py CLAUDE.md is an instructions file for Claude Code from patriarchal-boothose896/notebooklm-py. It costs 1,931 tokens per session, scanned A, original, MIT.

Project instructions for notebooklm-py, an unofficial Python client that automates Google NotebookLM through undocumented internal interfaces. They describe the project, setup commands, virtual-environment use, and tests.

In plain words
What is it for?
Use them when developing notebooklm-py, installing its dependencies, activating its virtual environment, running regular tests, or running authenticated end-to-end tests.
Why use it?
They give an agent the repository-specific commands and constraints needed to work consistently, including that Google's internal interface may change and break the client.

Instructions file for Claude Code

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

This is patriarchal-boothose896/notebooklm-py's own configuration. It tells Claude Code how to work on notebooklm-py 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 notebooklm-py configures →

Reuse

Borrowing it

Nothing to install: this file belongs to patriarchal-boothose896/notebooklm-py. 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/patriarchal-boothose896/notebooklm-py/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/patriarchal-boothose896/notebooklm-py

Made for: Claude Code.

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When invoked 1,931 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

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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 $0.01931 $0.01931
Opus 5 $0.00966 $0.00966
Sonnet 5 $0.00386 $0.00386
Haiku 4.5 $0.00193 $0.00193

Measured 10d ago against content hash aa4d4b698f67, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

notebooklm-py 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 10d 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 · 235 lines

How it starts

The opening of the file, as written. The whole thing — 235 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.

IMPORTANT: Follow documentation rules in CONTRIBUTING.md - especially the file creation and naming conventions.

Project Overview

notebooklm-py is an unofficial Python client for Google NotebookLM that uses undocumented RPC APIs. The library enables programmatic automation of NotebookLM features including notebook management, source integration, AI querying, and studio artifact generation (podcasts, videos, quizzes, etc.).

Critical constraint: This uses Google's internal batchexecute RPC protocol with obfuscated method IDs that Google can change at any time. All RPC method IDs in src/notebooklm/rpc/types.py are undocumented and subject to breakage.

Development Commands

# Create/recreate venv with uv (recommended - relocatable venvs)
uv venv .venv
uv pip install -e ".[all]"
playwright install chromium

# Activate virtual environment
source .venv/bin/activate

# Run all tests (excluding e2e by default)
pytest

# Run with coverage
pytest --cov

# Run e2e tests (requires authentication)
pytest tests/e2e -m e2e

# CLI testing
notebooklm --help

Pre-Commit Checks (REQUIRED before committing)

IMPORTANT: Always run these checks before committing to avoid CI failures:

# Format code with ruff
ruff format src/ tests/

# Check for linting issues
ruff check src/ tests/

# Type checking with mypy
mypy src/notebooklm --ignore-missing-imports

# Run tests
pytest

Or use this one-liner:

ruff format src/ tests/ && ruff check src/ tests/ && mypy src/notebooklm --ignore-missing-imports && pytest

Architecture

Layered Design

CLI Layer (cli/)
    ↓
Client Layer (client.py, _*.py APIs)
    ↓
Core Layer (_core.py)
    ↓
RPC Layer (rpc/)
  1. RPC Layer (src/notebooklm/rpc/):
    • types.py: All RPC method IDs and enums (source of truth)
    • encoder.py: Request encoding
    • decoder.py: Response parsing

Read the full file on GitHub · 235 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. 10d ago First seen · 235 lines · 1,931 tokens per session scan A aa4d4b698f67

Subscribe to this mod's changes

notebooklm-py CLAUDE.md is an instructions file published in the GitHub repository patriarchal-boothose896/notebooklm-py (3 stars, last pushed today), licensed MIT. It adds 1,931 tokens to every session, about $0.0097 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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