Transcribes YouTube videos and produces evidence-backed learning reports. Use when asked to extract YouTube captions, transcribe a video's audio, or explain what a video teaches using speech and on-screen demonstrations.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# YouTube transcript
Turn a YouTube video into traceable text or a detailed learning report.
Caption extraction is not audio transcription; sampled images are not
continuous video review.
## 1. Choose the evidence path
| Request | Required evidence | Deliverable |
| --- | --- | --- |
| Existing transcript or subtitles | Available source-language captions | Timestamped text with original captions retained |
| Transcribe the audio | Audio processed by speech recognition | Timestamped transcript with uncertain passages identified |
| Detailed account of what the video teaches | Captions or audio transcript, plus relevant video frames | Chapter notes, verified report, evidence and coverage records |
Use the learning-report path for demonstrations, on-screen steps, or requests
to capture everything taught. Start with source-language captions on this path;
add audio review when captions are missing or material wording remains uncertain.
Follow explicit audio-transcription requests even when captions exist.
Record the URL, video ID, requested outcome, output language, and output
directory. Resolve language from the user's instructions. Use a new directory
…
The line at the top of this page pins the label git:20260917.a8cc91c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (9760 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
firzus/agent-skills · 4 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zyynbyrd5e5ndax2
GET https://markdownregistry.com/api/v1/resolve?ref=firzus/agent-skills/youtube-transcript
GET https://markdownregistry.com/api/v1/blob/de905be463cfe5de6a6e81c4dab8ebb4c0a2b884c20bc117ba5f6b87a5449269
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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dannykkh/skill-olympus · skills/youtube-transcript/SKILL.md · YouTube 영상 자막을 추출하고 요약합니다. yt-dlp 기반으로 MCP 없이 로컬에서 안정적으로 동작합니다. /youtube-transcript 또는 "이 영상 자막 가져와"로 실행.
