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.
git clone --depth 1 https://github.com/CreatmanCEO/notebooklm-claude-workflowsWrote 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/commands/creatmanceo/notebooklm-claude-workflows/youtube-research)<a href="https://agentmods.dev/commands/creatmanceo/notebooklm-claude-workflows/youtube-research"><img src="https://agentmods.dev/badge/commands/creatmanceo/notebooklm-claude-workflows/youtube-research/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/commands/creatmanceo/notebooklm-claude-workflows/youtube-research"><img src="https://agentmods.dev/badge/commands/creatmanceo/notebooklm-claude-workflows/youtube-research.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 | $0.00000 | $0.00325 |
| Opus 5 | $0.00000 | $0.00162 |
| Sonnet 5 | $0.00000 | $0.00065 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
youtube-research 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 9d 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.
What it actually says
/youtube-research — Анализ YouTube видео через NotebookLM
Замена YouTube transcript API (который даёт 429). NotebookLM нативно принимает YouTube-ссылки как источники и извлекает контент.
Параметр
$ARGUMENTS — тема исследования
Действия
- Спроси у пользователя список YouTube-ссылок (1-10 видео)
- Создай NotebookLM ноутбук "YT Research: $ARGUMENTS" через
notebook_create - Добавь каждую YouTube-ссылку через
source_add:source_type: "url"wait: true (дождаться обработки каждого)
- После загрузки всех источников выполни
notebook_query:- "Какие ключевые идеи и концепции обсуждаются в этих видео?"
- "Составь структурированное резюме по каждому видео отдельно"
- Если пользователь задал конкретный вопрос в $ARGUMENTS — задай его тоже через
notebook_query - Выведи результат:
- Общий обзор темы
- Резюме по каждому видео (с цитатами из источников)
- Ключевые выводы и паттерны
- Рекомендации к действию
- Предложи: "Сгенерировать Audio Overview (подкаст) из этого ноутбука?"
- Если да —
studio_createсartifact_type=audio,confirm=true
- Если да —
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.
- 9d ago First seen · 26 lines · 0 tokens per session scan A 4a154620bc7d
youtube-research is a command published in the GitHub repository CreatmanCEO/notebooklm-claude-workflows (5 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 325 tokens. 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.
Other commands, from other repositories
update-counts
Update all hardcoded counts (skills, agents, marketplace repos/skills) across documentation from filesystem.
watch
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gws-people
Search and look up Google Contacts and directory profiles.
check
Run a quick scan of the memory system's health. For daily use.
render
Inspect an archived transcript (gzipped) — show counts, tool calls, errors. Useful after a PreCompact or SessionEnd, before deciding to write a retroactive /continuum:checkpoint.
git-workflow
Orchestrate a comprehensive git workflow from code review through PR creation, leveraging specialized agents for quality assurance, testing, and deployment readiness. This workflow implements modern git best practices including Conventional Commits, automated testing, and structured PR creation.