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 jlaska/obsidian-claude-plugins --skill youtube-summarizergit clone --depth 1 https://github.com/jlaska/obsidian-claude-pluginsWrote 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/jlaska/obsidian-claude-plugins/youtube-summarizer)<a href="https://agentmods.dev/skills/jlaska/obsidian-claude-plugins/youtube-summarizer"><img src="https://agentmods.dev/badge/skills/jlaska/obsidian-claude-plugins/youtube-summarizer/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/jlaska/obsidian-claude-plugins/youtube-summarizer"><img src="https://agentmods.dev/badge/skills/jlaska/obsidian-claude-plugins/youtube-summarizer.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 | $0.00033 | $0.03590 |
| Opus 5 | $0.00016 | $0.01795 |
| Sonnet 5 | $0.00007 | $0.00718 |
| Haiku 4.5 | $0.00003 | $0.00359 |
Grade A, and why
youtube-summarizer 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Summary
Fetches a YouTube video transcript, generates a concise summary with key takeaways and tag suggestions, and saves a structured note to the Obsidian vault's REFERENCES/ folder with the raw transcript in TRANSCRIPTS/.
When to Use
Invoke /youtube-summarizer <url> when you want to:
- Capture a YouTube video as a reference note in your vault
- Get a concise summary and key takeaways without watching the full video
- Build a searchable library of video content
Prerequisites
Install required Python packages:
pip install youtube-transcript-api yt-dlp
Or use uv (no pre-install needed):
uv run --with youtube-transcript-api --with yt-dlp skills/youtube-summarizer/fetch_youtube.py ...
Workflow
1. Discover Vault Root
Read Obsidian configuration to find the active vault:
cat ~/Library/Application\ Support/obsidian/obsidian.json
Parse the JSON to find the vault with "open": true, or use the most recently opened vault. Extract vault_root from the path field.
2. Fetch Transcript and Metadata
Run the fetch script:
python3 skills/youtube-summarizer/fetch_youtube.py "<vault_root>" "<youtube_url>"
The script outputs JSON to stdout:
{
"video_id": "dQw4w9WgXcQ",
"title": "Video Title",
"channel": "Channel Name",
"duration": "3:32",
"published": "2009-10-25",
"note_path": "/vault/REFERENCES/2009/10-October/2009-10-25 - Video Title.md",
"transcript_path": "/vault/TRANSCRIPTS/2009-10-25 - Video Title - transcript.md",
"timestamped_transcript_path": "/vault/TRANSCRIPTS/2009-10-25 - Video Title - transcript-timestamped.md",
"heatmap_path": "/vault/TRANSCRIPTS/2009-10-25 - Video Title - heatmap.md",
"already_exists": false,
"transcript_length": 4821
}
timestamped_transcript_path will be null if no transcript is available. heatmap_path will be null if the video has no YouTube heatmap data (requires sufficient view count).
3. Handle Already-Existing Notes
What ships with it
2 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.
- 9d ago First seen · 358 lines · 33 tokens per session scan A 5fdaae3d9350
youtube-summarizer is a skill published in the GitHub repository jlaska/obsidian-claude-plugins (2 stars, last pushed 8d ago), licensed MIT. It adds 33 tokens to every session and 3,590 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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