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 iart-ai/youtube-video-skills --skill youtube-intro-outrogit clone --depth 1 https://github.com/iart-ai/youtube-video-skillsWrote 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/iart-ai/youtube-video-skills/youtube-intro-outro)<a href="https://agentmods.dev/skills/iart-ai/youtube-video-skills/youtube-intro-outro"><img src="https://agentmods.dev/badge/skills/iart-ai/youtube-video-skills/youtube-intro-outro/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/iart-ai/youtube-video-skills/youtube-intro-outro"><img src="https://agentmods.dev/badge/skills/iart-ai/youtube-video-skills/youtube-intro-outro.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 | $0.00122 | $0.03001 |
| Opus 5 | $0.00061 | $0.01501 |
| Sonnet 5 | $0.00024 | $0.00600 |
| Haiku 4.5 | $0.00012 | $0.00300 |
Grade A, and why
youtube-intro-outro 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 12d 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.
This is a copy
100% identical to youtube-intro-outro — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Intro & Outro
Build the two pieces of motion that bracket every video on a channel: a 3-5s branded intro (logo sting that says "this is my channel") and an outro whose last ~20s host YouTube's clickable end-screen elements (subscribe + next video). Both must respect hard platform constraints — intro length affects retention; outro layout must dodge YouTube's overlaid UI — and both should be one reusable template where only the brand changes.
When to use
- Channel intro / bumper / logo sting (a 3-5s identity hit before content).
- Outro / end screen / end card (the last ~20s with subscribe + next-video cards).
- A reusable brand template: swap name, logo, colors, sting, and re-export.
Two hard rules (platform, not taste)
- Keep the intro 3-5s, the logo hit 1-2s. Anything longer than 5s causes measurable viewer drop-off, which hurts the video in the algorithm. The intro confirms the channel and gets out of the way.
- The outro must be ≥20s of held, quiet layout, and the video ≥25s total. YouTube only allows end-screen elements in the final 5-20s, and the video must be at least 25 seconds long. Design the outro plate around where those elements land — never put your own content under them.
Intro: the logo sting
A sting is three beats in ~3.5s: a windup (motion building tension), an impact (logo snaps to full on the audio hit), and a settle (micro-overshoot relaxing to rest). The brand mark must land exactly on the sound's impact frame, not near it.
| Beat | Window | Job |
|---|---|---|
| Windup | 0-0.8s | whoosh / build; logo not yet readable |
| Impact | ~0.8s | logo snaps to full on the audio hit + a white flash |
| Settle | 0.8-1.2s | overshoot relaxes to rest; tagline fades in |
| Hold | 1.2-3.5s | brand legible, then cut to content |
import {useCurrentFrame, useVideoConfig, spring, interpolate, Img, Audio, staticFile} from "remotion";
export const LogoSting = ({brand}) => {
const frame = useCurrentFrame();
const {fps} = useVideoConfig();
const IMPACT = Math.round(0.8 * fps); // logo lands here, on the sting hit
// overshoot scale: springs up past 1, settles to 1 (the "snap")
const scale = spring({frame: frame - IMPACT, fps, config: {damping: 9, mass: 0.5}, from: 1.18, to: 1});
const logoOpacity = frame < IMPACT ? 0 : 1;
const flash = interpolate(frame - IMPACT, [0, 6], [0.9, 0], {extrapolateLeft: "clamp", extrapolateRight: "clamp"});
return (
<div style={{flex: 1, background: brand.bg, display: "flex", alignItems: "center", justifyContent: "center"}}>
<Audio src={staticFile(brand.sting)} /> {/* impact of this file must sit at 0.8s */}
<Img src={staticFile(brand.logo)} style={{width: 420, opacity: logoOpacity, transform: `scale(${scale})`}} />
<div style={{position: "absolute", inset: 0, background: "#fff", opacity: flash}} />
</div>
);
};
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.
- 12d ago First seen · 174 lines · 122 tokens per session scan A e91352f55852
youtube-intro-outro is a skill published in the GitHub repository iart-ai/youtube-video-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 122 tokens to every session and 3,001 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to youtube-intro-outro, differing in 0 lines, and is treated as a copy.
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