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 sonichi/sutando --skill media-transcriptgit clone --depth 1 https://github.com/sonichi/sutandoWrote 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/sonichi/sutando/media-transcript)<a href="https://agentmods.dev/skills/sonichi/sutando/media-transcript"><img src="https://agentmods.dev/badge/skills/sonichi/sutando/media-transcript/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/sonichi/sutando/media-transcript"><img src="https://agentmods.dev/badge/skills/sonichi/sutando/media-transcript.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 | $0.00000 | $0.00525 |
| Opus 5.5 | $0.00000 | $0.00210 |
| Sonnet 5.5 | $0.00000 | $0.00105 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
media-transcript 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.
How it starts
The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.
media-transcript
Pull a video's transcript (captions/subtitles) as clean text — the doc-ingest sibling for video. Any task that references a YouTube (or other yt-dlp-supported) URL can consume the spoken content as text instead of being blind to it.
Usage:
python3 skills/media-transcript/scripts/transcript.py <url> [--lang en] [--timestamps] [--json]
Prints the transcript to stdout. --timestamps prefixes blocks with [mm:ss] cue starts (use when the question asks when/after what something was said). --json wraps the result as {"url", "ok", "kind", "text"|"error"} for programmatic callers.
When to use
- A task references a video URL whose content matters ("what did they say about X", "what number is mentioned after Y", summarizing a talk).
- The agent-eval harness hits video-based benchmark tasks (4 of 10 GAIA L3 fails on 2026-07-30 were video-content questions this skill unblocks).
- Anything needing spoken-word content where captions exist.
Not for:
- Local audio/video files — use
skills/audio-transcribe(whisper on the audio track); the script points there and exits 3. - Videos with no captions at all — v1 is captions-only (uploader subs preferred, auto-captions fallback). The script says so honestly (exit 1) rather than guessing; a whisper-on-downloaded-audio fallback is a possible v2, deliberately out of scope (media downloads are heavyweight and often unnecessary).
Behavior
- Prefers uploader subtitles over auto-generated captions;
--langpreference (defaulten) with graceful fallback to available English variants. - Downloads ONLY the subtitle track — never the media stream — into a private temp dir, removed afterwards. No API keys.
- Auto-caption VTTs repeat rolling caption windows; the parser dedupes them, strips inline tags/entities, and drops cue numbers, producing readable prose.
yt-dlpis probed at runtime (PATH binary, else the importable module) — a host without it gets one actionable error naming the install, never a crash (same design language as doc-ingest's extractor probing).
What ships with it
2 files 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.
- 1mo ago First seen · 30 lines · 0 tokens per session scan A 73971d86292b
media-transcript is a skill published in the GitHub repository sonichi/sutando (397 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 525 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 2026-08-30.
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