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 spinnakergit/a0-youtube-transcribe --skill youtube-transcribegit clone --depth 1 https://github.com/spinnakergit/a0-youtube-transcribeWrote 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/spinnakergit/a0-youtube-transcribe/youtube-transcribe)<a href="https://agentmods.dev/skills/spinnakergit/a0-youtube-transcribe/youtube-transcribe"><img src="https://agentmods.dev/badge/skills/spinnakergit/a0-youtube-transcribe/youtube-transcribe/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/spinnakergit/a0-youtube-transcribe/youtube-transcribe"><img src="https://agentmods.dev/badge/skills/spinnakergit/a0-youtube-transcribe/youtube-transcribe.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 | $0.00026 | $0.00388 |
| Opus 5.5 | $0.00010 | $0.00155 |
| Sonnet 5.5 | $0.00005 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
youtube-transcribe 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 1mo 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 Transcribe Skill
Transcribe YouTube videos and playlists with visual context extraction.
Workflow
-
Transcribe a single video:
youtube_transcribewithurl: VIDEO_URL -
Transcribe with visual analysis:
youtube_transcribewithurl: VIDEO_URL,extract_visuals: true -
Transcribe a playlist:
youtube_transcribewithurl: PLAYLIST_URL,action: playlist,max_videos: 10 -
Generate a summary:
youtube_summarywithurl: VIDEO_URL -
Generate detailed notes:
youtube_noteswithurl: VIDEO_URL,section_minutes: 5
Tips
- Use
youtube_transcribefirst to get the raw transcript - Follow with
youtube_summaryfor a concise overview - Use
youtube_notesfor deep study material with section-by-section breakdown - Visual context extraction detects chart/graph references and extracts frames
- All results auto-save to memory by default
- Supports YouTube Shorts, standard videos, and playlists
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.
- 1mo ago First seen · 52 lines · 26 tokens per session scan A c0af07ffac14
youtube-transcribe is a skill published in the GitHub repository spinnakergit/a0-youtube-transcribe (5 stars, last pushed 6mo ago), licensed MIT. It adds 26 tokens to every session and 388 once invoked, about $0.0001 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 2026-08-31.
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