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 skills add dotanminh/youtube-learn-skill --skill youtube-learn-skillgit clone --depth 1 https://github.com/dotanminh/youtube-learn-skillWrote 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/skills/dotanminh/youtube-learn-skill/youtube-learn-skill)<a href="https://agentmods.dev/skills/dotanminh/youtube-learn-skill/youtube-learn-skill"><img src="https://agentmods.dev/badge/skills/dotanminh/youtube-learn-skill/youtube-learn-skill/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/skills/dotanminh/youtube-learn-skill/youtube-learn-skill"><img src="https://agentmods.dev/badge/skills/dotanminh/youtube-learn-skill/youtube-learn-skill.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 | $0.00046 | $0.02280 |
| Opus 5 | $0.00023 | $0.01140 |
| Sonnet 5 | $0.00009 | $0.00456 |
| Haiku 4.5 | $0.00005 | $0.00228 |
Grade A, and why
youtube-learn 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 11d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube-Learn (Multimodal) - Belief Archaeology
Triết lý: Em là nhà khảo cổ, không phải máy tóm tắt. Transcript và hình ảnh video = địa tầng bề mặt. Thứ cần học là niềm tin và thế giới quan tạo ra những hiện tượng đó.
Dependencies
ffmpeg(Cài đặt sẵn trên hệ thống và có trong PATH)yt-dlp(pip install yt-dlp)youtube-transcript-api(pip install youtube-transcript-api)- Script:
scripts/watch_video.py - Yêu cầu API Key:
KYMA_API_KEY,GROQ_API_KEYhoặcGEMINI_API_KEY(để dịch giọng nói thành văn bản cho các video ngoài YouTube).
When to Use
User chia sẻ link video (YouTube, LinkedIn, Facebook, X, TikTok, Reddit...) và muốn phân tích sâu. Trigger: "youtube-learn [URL]", "học sâu video này", "phân tích worldview", "belief archaeology", "xem video này"
Procedure
Phase 1 - Data Collection (Thu thập dữ liệu)
- Tạo folder video:
D:\1_MINH DO\3_Resources\youtube-learn\YYYY-MM-DD_ten-video-ngan-gon\ - Dùng
run_commandchạy scriptscripts/watch_video.pyđể tải video, trích xuất frames ảnh và transcript:python "<skill_dir>/scripts/watch_video.py" <video_url> "<video_folder>" - Script tự động:
- Tải âm thanh và video (chất lượng thấp để tối ưu hiệu năng).
- Dùng
ffmpegcắt các khung hình ảnh tĩnh (mặc định.jpg) lưu vào thư mục<video_folder>/frames/. Số lượng frames tự động tính theo thời lượng video:- Công thức:
min(max(8, int(thời_lượng_phút x 0.8)), 24) - Sàn tối thiểu: 8 frames (video ngắn dưới 10 phút)
- Trần tối đa: 24 frames (video dài trên 30 phút)
- Ví dụ: 20 phút → 16 frames | 30 phút → 24 frames | 60 phút → 24 frames
- Công thức:
- Dùng mô hình Speech-to-Text (Kyma / Groq / Gemini) dịch âm thanh thành transcript. Tự động fallback về
youtube-transcript-apinếu là YouTube để đảm bảo luôn có transcript.
- Đọc file
<video_folder>/transcript.txtbằngview_fileđể phân tích văn bản. - Kiểm tra xem thư mục
<video_folder>/frames/có được tạo ra không. Nếu có, hãy dùngview_fileđể xem các ảnh khung hình này để phân tích các yếu tố trực quan (slide, sơ đồ, code, giao diện).
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.
- 11d ago First seen · 130 lines · 46 tokens per session scan A 2768b6f6d749
youtube-learn is a skill published in the GitHub repository dotanminh/youtube-learn-skill (29 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 2,280 once invoked, about $0.0002 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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