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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/omril321/automated-notebooklm/agents-md"><img src="https://agentmods.dev/badge/instructions/omril321/automated-notebooklm/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/omril321/automated-notebooklm/agents-md"><img src="https://agentmods.dev/badge/instructions/omril321/automated-notebooklm/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01336 | $0.01336 |
| Opus 5.5 | $0.00534 | $0.00534 |
| Sonnet 5.5 | $0.00267 | $0.00267 |
| Haiku 4.5 | $0.00134 | $0.00134 |
Grade A, and why
automated-notebooklm AGENTS.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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automated NotebookLM
TypeScript pipeline that turns articles curated on a Monday.com board into podcast episodes: it generates audio with Google NotebookLM (via the notebooklm-py CLI), uploads the MP3 to RedCircle (Playwright), and writes the result back to the board.
⚠️ yarn generate-podcasts is live
It spends NotebookLM's daily quota, publishes real RedCircle episodes, and edits Monday items. Never run it unless the user asks. Use yarn test:run, yarn typecheck and yarn build to verify changes.
Commands
yarn install
yarn test:run # vitest, single run (yarn test = watch)
yarn typecheck # tsc --noEmit
yarn build # tsc -> dist/
yarn format # prettier --write . (format:check to verify)
yarn generate-podcasts # the only entry point; see warning above
./scripts/setup-nlm.sh # one-time: .venv + notebooklm-py via uv (Python 3.10+)
./scripts/nlm login # Google OAuth in a browser
./scripts/nlm list # verify auth
Requires Node >= 24.4 (.nvmrc), yarn, uv, Chrome (RedCircle upload uses Playwright's chrome channel).
How a run works
Entry: src/scripts/generatePodcastForUrl.ts -> generateAndUploadFromMondayBoardCandidates() in src/mondayBatchOrchestrator.ts. No flags, no single-URL mode.
- Board prep (
src/monday/service.ts): items whose name is a bare URL get title + link filled in; article items missing metadata get Type / Metadata / Non-podcastable set. URLs are processed 10 at a time with 15s pauses. - Candidates:
getPodcastCandidates(3)keeps items withpodcastFitness > 0and anhttpURL, sorts audio-ready items (see below) first, then by fitness desc, and takes the top 3. - Generate: items with an existing NotebookLM link ("audio-ready") reuse that notebook and skip the rate limit; the rest are capped by remaining quota (
audioGenerationTrackingService). Done throughservices/notebookLMAdapter.ts->services/notebookLMCliService.ts. - Upload: all MP3s go to RedCircle in one browser session (
redCircleService.ts,browserService.ts). - Write back: podcast link, NotebookLM link and item name are updated on Monday.
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 First seen · 80 lines · 1,336 tokens per session scan A 90ebc5583e5f
automated-notebooklm AGENTS.md is an instructions file published in the GitHub repository omril321/automated-notebooklm (14 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,336 tokens to every session, about $0.0053 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 2026-11-07.
automated-notebooklm AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| automated-notebooklm AGENTS.mdomril321/automated-notebooklm | Instructions file | 14 | yesterday | Apache-2.0 | A | 1,336 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode ai-customization.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 1,907 | GitHub Copilot |