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 Ertinox7711/SGRR-AGI-V2 --skill lottiegit clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2Wrote 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/ertinox7711/sgrr-agi-v2/lottie)<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/lottie"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/lottie/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/ertinox7711/sgrr-agi-v2/lottie"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/lottie.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 | $0.00059 | $0.00834 |
| Opus 5 | $0.00030 | $0.00417 |
| Sonnet 5 | $0.00012 | $0.00167 |
| Haiku 4.5 | $0.00006 | $0.00083 |
Grade A, and why
lottie 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 3d 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 — 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lottie for HyperFrames
HyperFrames can seek both lottie-web and dotLottie players through its lottie runtime adapter. Lottie is a strong fit because the animation timeline is already encoded in the asset; HyperFrames only needs a player object it can seek.
Contract
- Load assets from local project files, usually under
assets/. - Set
autoplay: false. - Prefer
loop: falseunless the user explicitly wants a loop. - Register every returned animation or player on
window.__hfLottie. - Keep the Lottie container dimensions stable with CSS.
The adapter seeks lottie-web with goToAndStop(timeMs, false) and dotLottie with frame or percentage APIs depending on player shape.
lottie-web Pattern
<div id="logo-lottie" class="lottie-layer"></div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/bodymovin/5.12.2/lottie.min.js"></script>
<script>
const anim = lottie.loadAnimation({
container: document.getElementById("logo-lottie"),
renderer: "svg",
loop: false,
autoplay: false,
path: "assets/logo-reveal.json",
});
window.__hfLottie = window.__hfLottie || [];
window.__hfLottie.push(anim);
</script>
.lottie-layer {
width: 100%;
height: 100%;
}
dotLottie Pattern
<canvas id="product-lottie" class="lottie-canvas"></canvas>
<script src="https://unpkg.com/@lottiefiles/dotlottie-web"></script>
<script>
const player = new DotLottie({
canvas: document.getElementById("product-lottie"),
src: "assets/product-flow.lottie",
autoplay: false,
loop: false,
});
window.__hfLottie = window.__hfLottie || [];
window.__hfLottie.push(player);
</script>
.lottie-canvas {
width: 100%;
height: 100%;
display: block;
}
Multiple Animations
Push each player into the same registry:
window.__hfLottie = window.__hfLottie || [];
window.__hfLottie.push(backgroundAnim);
window.__hfLottie.push(iconAnim);
window.__hfLottie.push(confettiAnim);
HyperFrames seeks them all to the same composition time.
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.
- 3d ago First seen · 113 lines · 59 tokens per session scan A 35551db76464
lottie is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 4d ago), licensed MIT. It adds 59 tokens to every session and 834 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to lottie, differing in 0 lines, and is treated as a copy.
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