Install
$ agentstack add skill-jimmysadek-youtube-fetcher-to-markdown-youtube-fetcher-to-markdown ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
YouTube Fetcher
Overview
Fetches transcripts from YouTube videos and saves them as structured Markdown files with YAML frontmatter. Uses two tools:
- yt-dlp — video metadata (title, channel, description, duration, chapters)
- youtube-transcript-api — transcript/captions extraction
Each file includes full video metadata, the video description (with links and chapters), and the transcript. Files are saved to ~/yt_transcripts/ with the naming convention YYYY-MM-DD_video-title-slug_[VIDEO_ID].md.
When to Use This Skill
- User shares a YouTube URL (any format) or video ID
- User wants a transcript, captions, subtitles, or "the text" from a video
- Note-taking or summarization workflows involving YouTube content
- User pastes a YouTube link — even without explicit instructions, default to fetching
How Claude Should Use This Skill
The script path is: ~/.config/skillshare/skills/youtube-fetcher/scripts/fetch_transcript.py
Always use --force when running from Claude — the duplicate check uses an interactive prompt that doesn't work in non-interactive contexts. If you need to check for duplicates first, look for matching files in ~/yt_transcripts/ yourself.
Typical workflow:
- Run the script with
--forceto fetch the transcript - Tell the user where the file was saved
- If the user wants a summary or analysis, read the saved file and process it
Example invocation:
python3 ~/.config/skillshare/skills/youtube-fetcher/scripts/fetch_transcript.py "https://www.youtube.com/watch?v=VIDEO_ID" --force
If the user wants the transcript in the conversation (not just saved to a file), add --stdout:
python3 ~/.config/skillshare/skills/youtube-fetcher/scripts/fetch_transcript.py "URL" --force --stdout
If deps are missing, the script exits with code 2 and prints install instructions. Run the pip/brew commands it suggests.
Prerequisites
The script checks dependencies automatically on each run and will guide you through installation if anything is missing. You can also run a manual check:
python3 ~/.config/skillshare/skills/youtube-fetcher/scripts/fetch_transcript.py --check-deps
Required:
pip install youtube-transcript-api requests
Recommended (for video description, chapters, duration):
brew install yt-dlp # or: pip install yt-dlp
Usage
Default (saves structured Markdown to ~/yt_transcripts/)
python3 ~/.config/skillshare/skills/youtube-fetcher/scripts/fetch_transcript.py
This creates a file like ~/yt_transcripts/2026-03-04_video-title-here_[dQw4w9WgXcQ].md.
Duplicate Detection
If a video was already transcribed, the script will:
- Interactive terminal: prompt
Re-transcribe anyway? [y/N]: - Non-interactive (Claude, pipes, scripts): auto-skip and suggest
--force
Use --force to always re-fetch regardless of duplicates.
Options
# With timestamps in transcript body
python3 .../fetch_transcript.py --timestamps
# Specific language
python3 .../fetch_transcript.py --lang es
# Override source project name
python3 .../fetch_transcript.py --source "my-project"
# Custom output path
python3 .../fetch_transcript.py --output ~/notes/my-transcript.md
# Skip video description (transcript only)
python3 .../fetch_transcript.py --no-description
# Force re-fetch (skip duplicate check)
python3 .../fetch_transcript.py --force
# Print to stdout instead of saving
python3 .../fetch_transcript.py --stdout
# JSON or SRT format (raw, no Markdown wrapping)
python3 .../fetch_transcript.py --format json
python3 .../fetch_transcript.py --format srt
# List available transcripts for a video
python3 .../fetch_transcript.py --list
# Check dependencies
python3 .../fetch_transcript.py --check-deps
Exit Codes
| Code | Meaning | |------|---------| | 0 | Success | | 1 | Runtime error (fetch failed, invalid URL) | | 2 | Missing required dependencies | | 3 | Duplicate skipped (user declined re-fetch or non-interactive) |
Output Structure
File Location
~/yt_transcripts/YYYY-MM-DD_video-title-slugified_[VIDEO_ID].md
File Content
---
title: "Video Title"
channel: "Channel Name"
url: "https://www.youtube.com/watch?v=VIDEO_ID"
video_id: "VIDEO_ID"
fetched: "2026-03-04"
source_project: "JARVIS-Obsidian-Setup"
language: "en"
caption_type: "manual"
duration: "36m 26s"
upload_date: "2024-01-15"
tags:
- yt-transcript
---
# Video Title
## Video Details
| Field | Value |
|----------|-------|
| URL | https://www.youtube.com/watch?v=VIDEO_ID |
| Channel | Channel Name |
| Duration | 36m 26s |
| Uploaded | 2024-01-15 |
| Fetched | 2026-03-04 |
| Source | JARVIS-Obsidian-Setup |
| Language | en (manual) |
## Video Description
The video description text with links, summaries, etc.
### Chapters
- `00:00` Intro
- `02:23` My Testimony
- ...
## Transcript
The full transcript text here...
Accepted URL Formats
https://www.youtube.com/watch?v=VIDEO_IDhttps://youtu.be/VIDEO_IDhttps://youtube.com/embed/VIDEO_ID- Just the video ID directly
Limitations
- Only works on videos that have captions (manual or auto-generated)
- Cannot transcribe videos without any captions — use Whisper for that
- Some videos have captions disabled by the uploader
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: JimmySadek
- Source: JimmySadek/youtube-fetcher-to-markdown
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.