notebooklm-py is an unofficial Python library and command-line interface that lets programs and AI agents use Google Gemini Notebook, including features unavailable in its web interface. It supports automated research and content workflows for developers, researchers, and personal projects. The catalogue entries provide agent skills and instructions for operating NotebookLM through coding agents.
Borrowing it
Nothing to install: this file belongs to teng-lin/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.
curl -O https://raw.githubusercontent.com/teng-lin/notebooklm-py/main/CLAUDE.mdgit clone --depth 1 https://github.com/teng-lin/notebooklm-pyWrote 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/instructions/teng-lin/notebooklm-py/claude-md)<a href="https://agentmods.dev/instructions/teng-lin/notebooklm-py/claude-md"><img src="https://agentmods.dev/badge/instructions/teng-lin/notebooklm-py/claude-md.svg" alt="Measured on agentmods" 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 | $0.01905 | $0.01905 |
| Opus 5 | $0.00953 | $0.00953 |
| Sonnet 5 | $0.00381 | $0.00381 |
| Haiku 4.5 | $0.00191 | $0.00191 |
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 yesterday.
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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Guidance for Claude Code working in this repo. Also follow the file/naming conventions in CONTRIBUTING.md.
Project Overview
notebooklm-py is an unofficial async Python client for Google NotebookLM. It drives Google's internal batchexecute RPC protocol to automate notebooks, sources, AI querying, and studio artifacts (podcasts, videos, quizzes, …).
Critical constraint: the obfuscated RPC method IDs in src/notebooklm/rpc/_identifiers.py are undocumented and can break whenever Google changes them — the #1 breakage class. rpc/types.py is the compatibility-facing re-export.
Development Commands
# Canonical contributor install — matches the extras CI's test job installs.
# Full guide: docs/installation.md
uv sync --frozen --extra browser --extra dev --extra markdown \
--extra mcp --extra server --extra impersonate
source .venv/bin/activate
uv run playwright install chromium
uv run pytest # all tests (e2e excluded by default)
uv run pytest --cov # with coverage
uv run pytest tests/e2e -m e2e # e2e (requires auth)
uv run notebooklm --help # CLI
Install the full extras set. Omitting mcp/server does not fail — it
skips. tests/unit/mcp/ and the server suites are importorskip-guarded, so
without fastmcp/fastapi they vanish silently and their source counts as
uncovered. Measured on one commit: the three-extra install runs 13,939 tests
at 84.39% coverage and fails the 90% gate, while CI's set runs 15,478 at
96.61% and passes. That ~1,500-test blind spot hid a real MCP-adapter defect
through eight red CI jobs on #2198.
To approximate the nightly coverage gate (.github/workflows/nightly.yml — nightly actually splits coverage into a marker-filtered xdist pass plus a serial Playwright --cov-append pass and checks per-file floors via scripts/check_coverage_thresholds.py; PR cells run the same suite without coverage):
uv run pytest -n auto --dist loadgroup --cov=src/notebooklm \
--cov-report=term-missing --cov-fail-under=90
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.
- yesterday Changed · +16 tokens per session b43f436c6b06
- 4d ago Changed · +48 tokens per session 3406b0e789c7
- 8d ago First seen · 107 lines · 1,841 tokens per session scan A bfb7b0c6a3b7
notebooklm-py CLAUDE.md is an instructions file published in the GitHub repository teng-lin/notebooklm-py (19,187 stars, last pushed today), licensed MIT. It adds 1,905 tokens to every session, about $0.0095 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 2026-08-30.
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