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.
npx agentmods add instructions/magicseek/nblm/claude-mdgit clone --depth 1 https://github.com/magicseek/nblmWhat 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 | $0.01925 | $0.01925 |
| Opus 5 | $0.00962 | $0.00962 |
| Sonnet 5 | $0.00385 | $0.00385 |
| Haiku 4.5 | $0.00193 | $0.00193 |
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 2d 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.
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
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.
- 2d ago First seen · 192 lines · 1,925 tokens per session scan A 048632685a47
nblm CLAUDE.md is an instructions file published in the GitHub repository magicseek/nblm (33 stars, last pushed 6mo ago), licensed MIT. It adds 1,925 tokens to every session, about $0.0096 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.