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 KaimingWan/oh-my-kiro --skill omk-youtubegit clone --depth 1 https://github.com/KaimingWan/oh-my-kiroWrote 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/kaimingwan/oh-my-kiro/omk-youtube)<a href="https://agentmods.dev/skills/kaimingwan/oh-my-kiro/omk-youtube"><img src="https://agentmods.dev/badge/skills/kaimingwan/oh-my-kiro/omk-youtube/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/kaimingwan/oh-my-kiro/omk-youtube"><img src="https://agentmods.dev/badge/skills/kaimingwan/oh-my-kiro/omk-youtube.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 | $0.00065 | $0.00392 |
| Opus 5 | $0.00032 | $0.00196 |
| Sonnet 5 | $0.00013 | $0.00078 |
| Haiku 4.5 | $0.00006 | $0.00039 |
Grade A, and why
omk-youtube 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
Trigger Examples
- "帮我看看这个视频讲了什么 https://youtube.com/watch?v=xxx"
- "summarize this YouTube video"
- "提取这个视频的字幕"
- "这个 talk 讲了什么？ https://youtu.be/xxx"
- "translate this video's content to Chinese"
YouTube Subtitle Extraction
When to Use
User shares a YouTube URL and wants to understand the content (summary, key points, translation).
Usage
# English subtitles (default)
bash skills/omk-youtube/scripts/yt-subtitle.sh "https://www.youtube.com/watch?v=XXXXX"
# Chinese subtitles
bash skills/omk-youtube/scripts/yt-subtitle.sh "https://www.youtube.com/watch?v=XXXXX" zh-Hans
# Save to file
bash skills/omk-youtube/scripts/yt-subtitle.sh "https://www.youtube.com/watch?v=XXXXX" en /tmp/subtitle.txt
Workflow
- Extract subtitles:
bash skills/omk-youtube/scripts/yt-subtitle.sh <url> [lang] - Read the output (clean plain text, no timestamps)
- Summarize in user's preferred language
Tips
- For English videos: extract
ensubtitles, summarize in Chinese — best quality - For Chinese videos: extract
zh-Hanssubtitles directly - Priority: manual subtitles > auto-generated subtitles > auto-translated
- Requires:
yt-dlp(brew install yt-dlp)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 44 lines · 65 tokens per session scan A 7bd3e7c8a23d
omk-youtube is a skill published in the GitHub repository KaimingWan/oh-my-kiro (103 stars, last pushed 5mo ago), licensed MIT. It adds 65 tokens to every session and 392 once invoked, about $0.0003 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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