Borrowing it
Nothing to install: this file belongs to WingedGuardian/GENesis-AGI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/WingedGuardian/GENesis-AGI/main/.claude/skills/youtube-fetch/SKILL.mdgit clone --depth 1 https://github.com/WingedGuardian/GENesis-AGIWrote 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/wingedguardian/genesis-agi/youtube-fetch)<a href="https://agentmods.dev/skills/wingedguardian/genesis-agi/youtube-fetch"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/youtube-fetch/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/wingedguardian/genesis-agi/youtube-fetch"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/youtube-fetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 38 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Tool Misuse · line 116 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00103 | $0.02060 |
| Opus 5 | $0.00051 | $0.01030 |
| Sonnet 5 | $0.00021 | $0.00412 |
| Haiku 4.5 | $0.00010 | $0.00206 |
Grade A, and why
youtube-fetch scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
This skill retrieves YouTube video content (metadata and transcripts) using yt-dlp. WebFetch does not work reliably for YouTube (dynamic content, SSL issues). yt-dlp is the reliable alternative.
Prerequisite: yt-dlp must be installed (pip install yt-dlp).
Workflow
-
Ensure yt-dlp is available (install if needed):
which yt-dlp || pip install yt-dlp -
Fetch metadata for each video:
yt-dlp --skip-download --print '%(title)s|||%(uploader)s|||%(description)s' 'VIDEO_URL' -
Fetch the auto-generated transcript. Request both English tracks and prefer
en-orig:VID='VIDEO_ID' # <- substitute the real 11-char video id mkdir -p ~/tmp/yt-transcripts rm -f ~/tmp/yt-transcripts/"$VID".*.vtt # drop any earlier run's files yt-dlp --write-auto-sub --skip-download --sub-langs "en-orig,en" -o "$HOME/tmp/yt-transcripts/%(id)s" 'VIDEO_URL' ls ~/tmp/yt-transcripts/ | grep -F -- "$VID"The
rm -fis load-bearing, not tidiness: that directory persists across runs and across videos, so a stale$VID.en-orig.vttfrom an earlier fetch would satisfy step 4's preference check even when THIS fetch failed or returned onlyen— you would clean an old transcript and never see an error.grep -F --because a video id may begin with-, whichgrepwould otherwise read as options. YouTube may serve two English auto-caption tracks —en-orig("English (Original)") anden("English"). Usually they are the same resource. Observed 2026-09 on one video: the two were served with different cue segmentation, and the closing lines differed in wording ("subscribe" vs "subscription") — that wording difference is direct evidence of a different transcription. The same video served byte-identical tracks hours later. Cause unknown; requesting both and preferringen-origcosts one extra small download and is free insurance either way.en-origexists only where the video's original audio is English. On a foreign-language video there is noen-orig, andenis a machine TRANSLATION with nothing in the file marking it as one. A requested track that does not exist is skipped silently — check thels, and see step 6 if nothing was written.
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.
- 6d ago Changed · +65 lines 57c962b7b735
- 11d ago First seen · 98 lines · 103 tokens per session scan A b561a3443894
youtube-fetch is a skill published in the GitHub repository WingedGuardian/GENesis-AGI (96 stars, last pushed yesterday), licensed MIT. It adds 103 tokens to every session and 2,060 once invoked, about $0.0005 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 2026-08-30.
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