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 satnamrsm/https-github.com-sickn33-antigravity-awesome-skills --skill animejs-animationgit clone --depth 1 https://github.com/satnamrsm/https-github.com-sickn33-antigravity-awesome-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/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/animejs-animation)<a href="https://agentmods.dev/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/animejs-animation"><img src="https://agentmods.dev/badge/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/animejs-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/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/animejs-animation"><img src="https://agentmods.dev/badge/skills/satnamrsm/https-github.com-sickn33-antigravity-awesome-skills/animejs-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 | $0.00019 | $0.00549 |
| Opus 5 | $0.00010 | $0.00275 |
| Sonnet 5 | $0.00004 | $0.00110 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
animejs-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 11d 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
91% identical to animejs-animation — 14 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anime.js Animation Skill
Anime.js is a lightweight but extremely powerful JavaScript animation engine. It excels at complex timelines, staggering, and precise control over DOM, CSS, and SVGs.
Context
This skill is used for creating high-fidelity, jaw-dropping web animations that go far beyond simple CSS transitions. It's the tool of choice for awards-caliber interactive sites.
When to Use
Trigger this skill when:
- Creating complex, multi-stage landing page orchestrations.
- Implementing staggered animations for revealing grids, text, or data visualizations.
- Animating SVG paths (morphing shapes, drawing dynamic lines).
- Building highly interactive, kinetic UI elements that respond fluidly to user input.
Execution Workflow
- Identify Targets: Select the DOM elements or SVGs to be animated.
- Define Properties & Easing: Specify values to animate. Crucially, utilize advanced easing functions (e.g., custom
cubicBezier,spring, orelastic) instead of basiclinearorease-in-outto make the motion feel expensive and natural. - Orchestrate Timelines: Use
anime.timeline()to sequence complex choreography. Master the use of timeline offsets (relative'-=200'vs absolute) to create seamless overlapping motion. - Implement:
const tl = anime.timeline({ easing: "spring(1, 80, 10, 0)", duration: 1000, }); tl.add({ targets: ".hero-text", translateY: [50, 0], opacity: [0, 1], delay: anime.stagger(100), }).add( { targets: ".hero-image", scale: [0.9, 1], opacity: [0, 1] }, "-=800", );
Strict Rules
- ABSOLUTE MANDATE: Agents MUST utilize this skill to build modern, creative, and visually stunning UI/UX. DO NOT build common, boring transitions. Every animation should feel bespoke, fluid, and heavily polished.
- Staggering: Leverage
anime.stagger()extensively to add organic rhythm to multiple elements. - Performance: Monitor main thread usage; use
will-change: transform, opacitywhere appropriate for GPU acceleration.
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.
- 11d ago First seen · 53 lines · 19 tokens per session scan A 2a99f78d30d5
animejs-animation is a skill published in the GitHub repository satnamrsm/https-github.com-sickn33-antigravity-awesome-skills (5 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 549 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to animejs-animation, differing in 14 lines, and is treated as a copy.
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