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 supermaciz/sessions-chronicle --skill youtube-transcribe-yt-dlpgit clone --depth 1 https://github.com/supermaciz/sessions-chronicleWrote 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/supermaciz/sessions-chronicle/youtube-transcribe-yt-dlp)<a href="https://agentmods.dev/skills/supermaciz/sessions-chronicle/youtube-transcribe-yt-dlp"><img src="https://agentmods.dev/badge/skills/supermaciz/sessions-chronicle/youtube-transcribe-yt-dlp/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/supermaciz/sessions-chronicle/youtube-transcribe-yt-dlp"><img src="https://agentmods.dev/badge/skills/supermaciz/sessions-chronicle/youtube-transcribe-yt-dlp.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 | $0.00038 | $0.01168 |
| Opus 5 | $0.00019 | $0.00584 |
| Sonnet 5 | $0.00008 | $0.00234 |
| Haiku 4.5 | $0.00004 | $0.00117 |
Grade A, and why
youtube-transcribe-yt-dlp 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.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Transcript with yt-dlp Only
Overview
Extract subtitle tracks from YouTube and produce transcript text files with yt-dlp only.
Core principle: subtitle extraction only, never video/audio download, never browser automation.
When to Use
- User asks for YouTube transcript, captions, subtitles, or subtitle-to-text export.
- User provides one or more YouTube URLs (
youtube.com/watch,youtu.be,youtube.com/shorts). - User wants a fast CLI workflow with
yt-dlp.
When NOT to Use
- User asks for full speech-to-text transcription from audio.
- User asks to download video or audio files.
- User requires browser automation tools.
Hard Rules
- Use
yt-dlponly. - Always include
--skip-download. - Never use browser automation fallback.
- Never download video/audio for transcription.
- If subtitles are unavailable, report clearly and stop.
Quick Reference
| Goal | Command |
|---|---|
| List available subtitle languages | yt-dlp --list-subs "<URL>" |
| Download manual + auto subs only | yt-dlp --skip-download --write-subs --write-auto-subs --sub-langs "en.*,en" --sub-format "vtt" -o "%(title).180B [%(id)s].%(ext)s" "<URL>" |
| Restrict filename characters | Add --restrict-filenames |
Workflow
digraph youtube_transcript_flow {
rankdir=TB;
"Valid YouTube URL?" [shape=diamond];
"Check yt-dlp available" [shape=box];
"List subtitle tracks" [shape=box];
"Any subtitle track available?" [shape=diamond];
"Download subs with --skip-download" [shape=box];
"Convert VTT/SRT to TXT" [shape=box];
"Report output files" [shape=box];
"Stop: explain limitation" [shape=box];
"Valid YouTube URL?" -> "Check yt-dlp available" [label="yes"];
"Valid YouTube URL?" -> "Stop: explain limitation" [label="no"];
"Check yt-dlp available" -> "List subtitle tracks";
"List subtitle tracks" -> "Any subtitle track available?";
"Any subtitle track available?" -> "Download subs with --skip-download" [label="yes"];
"Any subtitle track available?" -> "Stop: explain limitation" [label="no"];
"Download subs with --skip-download" -> "Convert VTT/SRT to TXT";
"Convert VTT/SRT to TXT" -> "Report output files";
}
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 · 142 lines · 38 tokens per session scan A 2e541166d03f
youtube-transcribe-yt-dlp is a skill published in the GitHub repository supermaciz/sessions-chronicle (5 stars, last pushed 3d ago), licensed MIT. It adds 38 tokens to every session and 1,168 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 2026-08-31.
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