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 2233admin/design-pipeline --skill lottie-animationgit clone --depth 1 https://github.com/2233admin/design-pipelineWrote 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/2233admin/design-pipeline/lottie-animation)<a href="https://agentmods.dev/skills/2233admin/design-pipeline/lottie-animation"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/lottie-animation/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/2233admin/design-pipeline/lottie-animation"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/lottie-animation.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 | $0.00107 | $0.02350 |
| Opus 5 | $0.00053 | $0.01175 |
| Sonnet 5 | $0.00021 | $0.00470 |
| Haiku 4.5 | $0.00011 | $0.00235 |
Grade A, and why
lottie-animation 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 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.
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 lottie-animation — 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lottie Animation
The bridge from After Effects to product: vector animation shipped as JSON (or zipped .lottie), tiny and resolution-independent, played by a runtime on web, iOS, Android, and React Native. This skill covers integrating, controlling, and exporting Lottie.
When to use
- Ship a designer's AE animation to web/iOS/Android/React Native
- Looping illustrations, onboarding, empty states, animated icons
- Scroll-driven or interaction-driven vector playback (hover, click, cursor)
- Runtime theming/recoloring instead of re-exporting per brand
Formats: .json vs .lottie
.json— the raw Bodymovin output. Human-readable, larger..lottie— a zipped container (often 60–80% smaller) that can bundle multiple animations, images, and theming. Preferred for shipping. Player:@lottiefiles/dotlottie-web(modern, canvas + WASM) supersedes the olderlottie-web.
Prefer the dotLottie runtime for new work; use lottie-web only for legacy .json + SVG renderer needs.
Core workflow (web, dotLottie)
npm i @lottiefiles/dotlottie-web # vanilla
npm i @lottiefiles/dotlottie-react # React wrapper
Vanilla:
import { DotLottie } from "@lottiefiles/dotlottie-web";
const dotLottie = new DotLottie({
canvas: document.querySelector("#lottie"), // a <canvas> element
src: "/hero.lottie", // or .json
loop: true,
autoplay: true,
// speed: 1, mode: "forward" | "reverse" | "bounce", renderConfig: { autoResize: true }
});
React:
import { DotLottieReact } from "@lottiefiles/dotlottie-react";
function Hero() {
return <DotLottieReact src="/hero.lottie" loop autoplay style={{ width: 320 }} />;
}
Capture the instance to control it:
const [dl, setDl] = useState(null);
<DotLottieReact src="/icon.lottie" dotLottieRefCallback={setDl} />;
// dl?.play(); dl?.pause(); dl?.setSpeed(2);
Playback control
dotLottie.play();
dotLottie.pause();
dotLottie.stop();
dotLottie.setSpeed(1.5);
dotLottie.setMode("bounce"); // forward | reverse | bounce | reverse-bounce
dotLottie.setFrame(42); // jump to a frame
dotLottie.setSegment(30, 90); // constrain playback to a frame range (e.g. a "loading" loop)
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.
- 5d ago First seen · 181 lines · 107 tokens per session scan A c78826a8b418
lottie-animation is a skill published in the GitHub repository 2233admin/design-pipeline (9 stars, last pushed 6d ago), licensed MIT. It adds 107 tokens to every session and 2,350 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to lottie-animation, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
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ss-motion
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ss-studio
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ss-verify
The VISUAL gate — render a UI or visual artifact through its surface adapter, inspect the actual pixels, then fix and re-render until it passes the composed StyleSeed rule set.
ss-feedback
Add appropriate user feedback states (loading, success, error, empty) to a component or page.
ss-lint
Quick automated lint — detects common design system violations in seconds.