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SKILL verified MIT Self-run

Youtube Script

skill-jesamkim-oh-my-skills-youtube-script · by jesamkim

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Install

$ agentstack add skill-jesamkim-oh-my-skills-youtube-script

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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 No
  • 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.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
9d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

YouTube Transcript Extractor

Extract subtitles/captions from YouTube videos using the youtube_transcript_api library.

Prerequisites

The skill uses a bundled Python script that requires youtube_transcript_api. Check if the package is available:

pip show youtube-transcript-api 2>/dev/null || pip install youtube-transcript-api

If a known working venv exists at ~/QCLI/youtube-script/venv/, use that Python directly:

~/QCLI/youtube-script/venv/bin/python ${SKILL_DIR}/scripts/extract_transcript.py 

Workflow

Step 1: Parse the YouTube URL

Extract the video ID from the URL. Supported formats:

  • https://www.youtube.com/watch?v=VIDEO_ID
  • https://youtu.be/VIDEO_ID
  • https://www.youtube.com/embed/VIDEO_ID
  • URLs with additional parameters (playlist, timestamp, etc.)

Step 2: Run the extraction script

python ${SKILL_DIR}/scripts/extract_transcript.py  [OPTIONS]

Options:

  • --language / -l: Preferred language code (default: auto-detect). Examples: ko, en, ja
  • --output / -o: Output file path (default: {video_id}_transcript.txt in CWD)
  • --with-timestamps: Include timestamps in output
  • --json: Output as JSON with timestamps and metadata

The script tries to fetch captions in this order:

  1. Manual captions in the preferred language
  2. Auto-generated captions in the preferred language
  3. Any available captions (fallback)

Step 3: Report results

After extraction, report:

  • Video ID
  • Language detected
  • Character count / word count
  • Output file path
  • First ~200 characters as preview

If the transcript is needed for further processing (e.g., enriching lecture notes, summarizing), read the saved file and proceed with the downstream task.

Error Handling

  • No captions available: Some videos have captions disabled. Inform the user and suggest

alternatives (e.g., downloading audio and using Whisper via /yonsei transcribe).

  • Video unavailable: Private, deleted, or age-restricted videos may fail. Report the error clearly.
  • Rate limiting: If YouTube blocks requests, wait and retry once after a short delay.

Examples

Example 1: Basic extraction

User: "이 유튜브 영상 스크립트 뽑아줘 https://youtu.be/Z6-QSTia1tY"
→ Run extract_transcript.py with the URL
→ Save to Z6-QSTia1tY_transcript.txt
→ Report: language, length, preview

Example 2: With specific language

User: "Extract the English transcript from https://www.youtube.com/watch?v=abc123"
→ Run with --language en
→ Save and report

Example 3: For lecture note enrichment

User: "이 유튜브 영상 내용을 Week 3 노트에 추가해줘 https://youtu.be/xyz"
→ Extract transcript
→ Read transcript content
→ Summarize key points
→ Add to the relevant notes file

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.