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SKILL unreviewed MIT Self-run

Yt Digest

skill-tga-cheetung-yt-digest-yt-digest · by tga-cheetung

Turn a YouTube URL into a vault-ready research digest — transcript, key learning moments with timestamp deep-links, and screenshots of visual moments (slides, demos, dashboards). Use when the user pastes a YouTube link they're researching, says "summarize this video", "/yt-digest <url>", "youtube digest", or asks to extract key points from a YouTube talk. Output goes to vault/research/youtube/<sl…

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Install

$ agentstack add skill-tga-cheetung-yt-digest-yt-digest

Open-source listing — not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

1 finding(s); flagged for manual review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
  • high Destructive filesystem operation.

What it can access

  • Network access No
  • Filesystem access Used
  • 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.

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About

yt-digest

Process a YouTube video into a single markdown research note in your notes vault. Drop a link, get a digest that's faster to consume than the video.

Output contract

  • Digest: vault/research/youtube/.md — frontmatter + TL;DR + numbered takeaways (each with timestamp deep-link + screenshot if visual) + collapsed transcript
  • Screenshots: vault/attachments/youtube//frame-MM-SS.png — embedded in digest via Obsidian's ![[...]] syntax
  • Staging: /tmp/yt-digest// — video + raw VTT, deleted at end of run

Headless-safe: all inputs come from CLI args, no interactive prompts, deterministic output path so an orchestrator can read the result back.

Workflow

0. Parse args

Required: a YouTube URL (any form — youtu.be/x, youtube.com/watch?v=x, youtube.com/shorts/x).

Optional flags:

  • --no-screenshots — skip video download + frame extraction (transcript-only, ~$0.01, ~5s)
  • --tags a,b,c — add to frontmatter tags: list
  • --slug name — override auto-generated slug

If no URL is provided, abort with a one-line error — do NOT prompt the user (this skill runs headless).

1. Fetch transcript + video

mkdir -p /tmp/yt-digest
META_JSON=$(.claude/skills/yt-digest/scripts/fetch.sh "$URL" "/tmp/yt-digest/staging-$$" ${NO_SCREENSHOTS:+--no-video})

Parse META_JSON (one-line JSON) for: id, title, channel, duration_seconds, upload_date (YYYYMMDD), slug, transcript_path, video_path.

Override slug if --slug was passed.

Set up paths:

WORK_DIR="/tmp/yt-digest/staging-$$"
ATTACH_DIR="vault/attachments/youtube/$SLUG"
DIGEST_PATH="vault/research/youtube/$SLUG.md"
mkdir -p "$ATTACH_DIR" "$(dirname "$DIGEST_PATH")"

If transcript_path is empty: YouTube has no captions for this video. Abort with: "No captions available for this video. Re-run with audio re-transcription (not yet implemented) or skip." Clean up $WORK_DIR before exiting.

2. Flatten the VTT

TRANSCRIPT_JSON=$(.claude/skills/yt-digest/scripts/parse_vtt.py "$TRANSCRIPT_PATH")

TRANSCRIPT_JSON is [{start_seconds, text}, ...] with rolling-caption duplicates removed.

3. Pick key learning moments

Read the full transcript. Identify 5-10 key moments that earn a bullet in the digest. Each moment is:

{
  "start_seconds": 754,
  "title": "Concise one-line insight (≤ 12 words)",
  "quote": "Verbatim line from the transcript that earned this bullet",
  "needs_screenshot": true,
  "rationale": "Why a screenshot would help — e.g. 'slide showing the 6-bucket framework'"
}

Selection criteria:

  • Concrete frameworks, models, or step-by-step processes
  • Specific numbers, data points, or benchmarks
  • Counterintuitive claims with reasoning
  • Moments where the speaker references something on-screen ("as you can see here…", "this chart shows…", "the formula is…")

Set needs_screenshot: true ONLY when the speaker is clearly referencing a visual (slide, demo, chart, code). Pure talking-head insights get needs_screenshot: false.

Anti-patterns — don't pick:

  • Intros, outros, sponsor reads, channel housekeeping
  • Filler restatements ("so what I'm saying is…")
  • Repeated points (pick the strongest framing only)

4. Extract frames

If --no-screenshots was passed, skip this step.

Collect timestamps where needs_screenshot: true:

.claude/skills/yt-digest/scripts/extract_frames.sh "$VIDEO_PATH" "$ATTACH_DIR" 754 1230 1890

Frames land as frame-MM-SS.png in $ATTACH_DIR.

5. Assemble the digest

Write $DIGEST_PATH using this exact structure:

---
source: youtube
url: https://youtube.com/watch?v=
channel: 
title: 
duration: 
published: 
digested: 
tags: [youtube, research, ]
---

# 

**Channel:**  · **Length:**  · **Published:**  · [Watch ↗]()

## TL;DR

- 3-5 punchy bullets capturing the video's thesis. Each bullet stands alone.

## Key Takeaways

### 1.  · [](&t=s)

![[frame-MM-SS.png]]   

> 

### 2. 

...

## Open Questions

- 1-3 questions the video raises but doesn't answer, or things worth trying
- Skip this section if nothing concrete comes to mind — don't manufacture filler

## Full Transcript

Click to expand

[00:00] First line of transcript text. [00:08] Second line...

Notes on assembly:

  • &t=s — YouTube timestamp deep-link. Use & if URL already has ?v=, else ?t=.
  • Format duration as H:MM:SS if ≥ 1hr, else MM:SS.
  • The screenshot path is relative — Obsidian's ![[frame-MM-SS.png]] resolves via the vault's attachment folder config. If that fails for any reader, use the explicit form `` as fallback.
  • Full transcript block: timestamp each line as [MM:SS] so future search lands you at the right second.

6. Cleanup

Use Python rather than rm -rf — Claude Code's safety policy hard-blocks rm -rf even when explicitly allowlisted, which would break headless dispatch:

python3 -c "import shutil, sys; shutil.rmtree(sys.argv[1], ignore_errors=True)" "$WORK_DIR"

This deletes the source MP4 + raw VTT. The vault keeps only: digest markdown + screenshots (~2-3 MB total per video).

7. Print result

Final line of output must be:

DIGEST: 

Any orchestrator can parse this to surface the file back to the originating thread.

Cost

| Component | Cost per 30-min video | |---|---| | yt-dlp transcript + video | $0 | | Model digest pass (~7K in / 800 out) | ~$0.01–0.04 | | ffmpeg frame extraction | $0 | | Vault storage (digest + screenshots) | ~3 MB |

Source MP4 (~100 MB) is deleted in step 6.

Headless / remote dispatch

The skill writes to a deterministic path and prints DIGEST: as its final line, so it composes with any orchestrator that can shell out — cron, CI, or a chat bot. The pattern worth building: a Slack/Telegram bot that runs the skill on a pasted URL and posts the path (or the rendered TL;DR) back into the thread. "Drop a link in chat, get a digest in your vault" becomes a one-message workflow.

Model note for unattended runs: in a headless claude -p run, a small/cheap model will sometimes describe what the skill would do rather than invoking the scripts (turns burned, zero tool calls, nothing written). Route the unattended dispatch to a more capable model. The interactive run is fine on the cheap model.

Failure modes

  • No captions: abort cleanly per step 1 — do not silently produce an empty digest.
  • yt-dlp 403 / age-restricted: print the actual yt-dlp error and abort. Don't paper over with cookies-based workarounds without explicit user request.
  • ffmpeg fails on a timestamp: log the failure but continue with the other frames. The digest still ships; the missing screenshot is just omitted (don't leave broken ![[...]] syntax).
  • Vault path collision: if vault/research/youtube/.md already exists, append a -2 suffix to the slug. Don't overwrite.

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.