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 karaage0703/ai-assistant-workspace --skill xs-youtube-notesgit clone --depth 1 https://github.com/karaage0703/ai-assistant-workspaceWrote 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/karaage0703/ai-assistant-workspace/xs-youtube-notes)<a href="https://agentmods.dev/skills/karaage0703/ai-assistant-workspace/xs-youtube-notes"><img src="https://agentmods.dev/badge/skills/karaage0703/ai-assistant-workspace/xs-youtube-notes/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/karaage0703/ai-assistant-workspace/xs-youtube-notes"><img src="https://agentmods.dev/badge/skills/karaage0703/ai-assistant-workspace/xs-youtube-notes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.00530 |
| Opus 5 | $0.00023 | $0.00265 |
| Sonnet 5 | $0.00009 | $0.00106 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
xs-youtube-notes 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 12d 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動画ノート化
YouTube動画から字幕を取得し、構造化されたノートを作成する。
手順
Step 1: URLを受け取る
ユーザーからYouTube URLを受け取る。
Step 2: 動画情報を取得
# 動画メタデータ取得
yt-dlp -J "[YouTube URL]"
Step 3: 字幕を取得
# VIDEO_IDはURLから抽出（v=以降、またはyoutu.be/以降）
youtube_transcript_api [VIDEO_ID] --languages ja en --format text
Step 4: ノートを作成
以下のフォーマットでノートを作成：
# [動画タイトル]
## 基本情報
- **URL:** [YouTube URL]
- **時間:** XX分XX秒
- **チャンネル:** [チャンネル名]
## 概要
動画の内容を3-5行で要約
## 内容
### [セクション1]（0:00〜）
- ポイント1
- ポイント2
### [セクション2]（5:00〜）
- ポイント1
- ポイント2
## 重要ポイント
- 学び1
- 学び2
- 学び3
## 用語解説
- **用語1:** 説明
- **用語2:** 説明
Step 5: 完了報告
ノート内容をチャットに表示する。
字幕がない場合
-
音声を抽出
yt-dlp -x --audio-format mp3 -o "audio.mp3" "[YouTube URL]" -
transcriberスキルで文字起こし
カスタマイズ
詳細度を変える
- 「簡潔にまとめて」→ 概要と重要ポイントのみ
- 「詳しくまとめて」→ 用語解説付きの詳細ノート
保存先を指定
「notes/に保存して」と言えば、ファイルとして保存される。
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.
- 12d ago First seen · 88 lines · 47 tokens per session scan A a7332fa5cf0a
xs-youtube-notes is a skill published in the GitHub repository karaage0703/ai-assistant-workspace (137 stars, last pushed 24d ago), licensed MIT. It adds 47 tokens to every session and 530 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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