Borrowing it
Nothing to install: this file belongs to omril321/automated-notebooklm. 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/omril321/automated-notebooklm/main/CLAUDE.mdgit clone --depth 1 https://github.com/omril321/automated-notebooklmWrote 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/omril321/automated-notebooklm/claude-md)<a href="https://agentmods.dev/instructions/omril321/automated-notebooklm/claude-md"><img src="https://agentmods.dev/badge/instructions/omril321/automated-notebooklm/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 | $0.02368 | $0.02368 |
| Opus 5 | $0.01184 | $0.01184 |
| Sonnet 5 | $0.00474 | $0.00474 |
| Haiku 4.5 | $0.00237 | $0.00237 |
Grade C, and why
automated-notebooklm CLAUDE.md scanned grade C with 2 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 8d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- **Command not found**: Ensure `uv` is installed (`brew install uv` or `curl -LsSf https://astral.sh/uv/install.sh | sh`) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Command not found**: Ensure `uv` is installed (`brew install uv` or `curl -LsSf https://astral.sh/uv/install.sh | sh`) How it starts
The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automated NotebookLM - Claude Code Context
This project automates Google NotebookLM to generate podcast audio from URLs, converts audio to MP3, and optionally uploads episodes to RedCircle. It includes Monday.com integration for candidate selection and metadata processing.
Project Overview
Automated NotebookLM is a TypeScript automation pipeline that:
- Generates NotebookLM studio podcasts from URLs using
notebooklm-pyCLI - Downloads MP3 audio directly from NotebookLM
- Uploads MP3 episodes to RedCircle (optional)
- Integrates with Monday.com boards for candidate management with intelligent scoring
- Supports both new podcast generation and resuming from existing NotebookLM URLs
Architecture
Monday.com Board → Candidate Selection → NotebookLM Generation → Audio Download → RedCircle Upload
↓ ↓ ↓ ↓ ↓
Metadata Extraction → Fitness Scoring → CLI (notebooklm-py) → MP3 Direct → Browser Upload
Key Directories
src/- TypeScript source codesrc/services/- Content analysis and metadata extraction servicessrc/monday/- Monday.com API integration layersrc/scripts/- CLI entry pointsdist/- Compiled JavaScript outputdownloads/- Generated MP3 audio filestemp/- Temporary processing fileslogs/- Application logs
Core Services
Audio Pipeline
singleRunGeneration.ts- Main podcast generation orchestrationservices/notebookLMCliService.ts- CLI wrapper for notebooklm-pyservices/notebookLMAdapter.ts- Adapter interface for NotebookLM operationsaudioConversionService.ts- MP3 passthrough (CLI provides MP3 directly)redCircleService.ts- Automated podcast upload to RedCircle platform
Monday.com Integration
monday/config.ts- Board configuration and column definitionsmonday/service.ts- Board operations, candidate selection, and updatesmonday/api-client.ts- Monday.com GraphQL API clientmonday/api.ts- Board item fetching and filtering logic
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.
- 8d ago First seen · 300 lines · 2,368 tokens per session scan C ac035911a643
automated-notebooklm CLAUDE.md is an instructions file published in the GitHub repository omril321/automated-notebooklm (15 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 2,368 tokens to every session, about $0.0118 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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.
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).
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).
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.
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.