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 build-with-dhiraj/ai-workflow-framework-portability-kit --skill baoyu-youtube-transcriptgit clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kitWrote 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/build-with-dhiraj/ai-workflow-framework-portability-kit/baoyu-youtube-transcript)<a href="https://agentmods.dev/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/baoyu-youtube-transcript"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/baoyu-youtube-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/build-with-dhiraj/ai-workflow-framework-portability-kit/baoyu-youtube-transcript"><img src="https://agentmods.dev/badge/skills/build-with-dhiraj/ai-workflow-framework-portability-kit/baoyu-youtube-transcript.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 | $0.00107 | $0.02333 |
| Opus 5.5 | $0.00043 | $0.00933 |
| Sonnet 5.5 | $0.00021 | $0.00467 |
| Haiku 4.5 | $0.00011 | $0.00233 |
Grade A, and why
baoyu-youtube-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 25d 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.
This is a copy
100% identical to baoyu-youtube-transcript — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Transcript
Downloads transcripts (subtitles/captions) from YouTube videos. Works with both manually created and auto-generated transcripts. No API key or browser required — uses YouTube's InnerTube API directly and automatically falls back to yt-dlp when YouTube blocks the direct API path.
Fetches video metadata and cover image on first run, caches raw data for fast re-formatting.
Script Directory
Scripts in scripts/ subdirectory. {baseDir} = this SKILL.md's directory path. Resolve ${BUN_X} runtime: if bun installed → bun; if npx available → npx -y bun; else suggest installing bun. Replace {baseDir} and ${BUN_X} with actual values.
| Script | Purpose |
|---|---|
scripts/main.ts |
Transcript download CLI |
Usage
# Default: markdown with timestamps (English)
${BUN_X} {baseDir}/scripts/main.ts <youtube-url-or-id>
# Specify languages (priority order)
${BUN_X} {baseDir}/scripts/main.ts <url> --languages zh,en,ja
# Without timestamps
${BUN_X} {baseDir}/scripts/main.ts <url> --no-timestamps
# With chapter segmentation
${BUN_X} {baseDir}/scripts/main.ts <url> --chapters
# With speaker identification (requires AI post-processing)
${BUN_X} {baseDir}/scripts/main.ts <url> --speakers
# SRT subtitle file
${BUN_X} {baseDir}/scripts/main.ts <url> --format srt
# Translate transcript
${BUN_X} {baseDir}/scripts/main.ts <url> --translate zh-Hans
# List available transcripts
${BUN_X} {baseDir}/scripts/main.ts <url> --list
# Force re-fetch (ignore cache)
${BUN_X} {baseDir}/scripts/main.ts <url> --refresh
Options
| Option | Description | Default |
|---|---|---|
<url-or-id> |
YouTube URL or video ID (multiple allowed) | Required |
--languages <codes> |
Language codes, comma-separated, in priority order | en |
--format <fmt> |
Output format: text, srt |
text |
--translate <code> |
Translate to specified language code | |
--list |
List available transcripts instead of fetching | |
--timestamps |
Include [HH:MM:SS → HH:MM:SS] timestamps per paragraph |
on |
--no-timestamps |
Disable timestamps | |
--chapters |
Chapter segmentation from video description | |
--speakers |
Raw transcript with metadata for speaker identification | |
--exclude-generated |
Skip auto-generated transcripts | |
--exclude-manually-created |
Skip manually created transcripts | |
--refresh |
Force re-fetch, ignore cached data | |
-o, --output <path> |
Save to specific file path | auto-generated |
--output-dir <dir> |
Base output directory | youtube-transcript |
What ships with it
8 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.
- 25d ago First seen · 187 lines · 107 tokens per session scan A b7085574c6bf
baoyu-youtube-transcript is a skill published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (5 stars, last pushed 12d ago), licensed MIT. It adds 107 tokens to every session and 2,333 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to baoyu-youtube-transcript, differing in 0 lines, and is treated as a copy.
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