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 aris4u-dev/aris4u --skill youtubegit clone --depth 1 https://github.com/aris4u-dev/aris4uWrote 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/aris4u-dev/aris4u/youtube)<a href="https://agentmods.dev/skills/aris4u-dev/aris4u/youtube"><img src="https://agentmods.dev/badge/skills/aris4u-dev/aris4u/youtube.svg" alt="Measured on agentmods" 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 | $0.00104 | $0.01560 |
| Opus 5 | $0.00052 | $0.00780 |
| Sonnet 5 | $0.00021 | $0.00312 |
| Haiku 4.5 | $0.00010 | $0.00156 |
Grade A, and why
youtube scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
tools: [curl, jq, python3] The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
4 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.
- 5d ago First seen · 166 lines · 104 tokens per session scan A c83a2ffe12e4
youtube is a skill published in the GitHub repository aris4u-dev/aris4u (0 stars, last pushed 1mo ago), with no licence file. It adds 104 tokens to every session and 1,560 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
Other skills, from other repositories
youtube-content
YouTube Data API — search, video details, channel info, transcripts.
youtube-video-analyzer
A tool for studying YouTube videos, their data, and their performance measures. It also examines content strategy, audience interaction, and possible ways to grow.
youtube-summarizer
Summarize YouTube videos by extracting transcripts and generating structured summaries with key points, timestamps, and topic segmentation.
youtube
Use whenever the user mentions YouTube, video uploads, channel management, playlists, video SEO, or any YouTube Data API operation. Manages videos, playlists, comments, captions, subscriptions, thumbnails, analytics, and more.
youtube-transcribe
A tool that downloads YouTube videos or subtitles, turns speech into text, and can translate English into Chinese in a bilingual Markdown file.
audience-feedback-summarizer
Takes a batch of reader comments, survey responses, or audience messages and returns a structured summary organized by theme, sentiment, and actionable takeaways — turning scattered feedback into a clear editorial brief.