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 m-binimran/dev-pack --skill animation-implementgit clone --depth 1 https://github.com/m-binimran/dev-packWrote 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/m-binimran/dev-pack/animation-implement)<a href="https://agentmods.dev/skills/m-binimran/dev-pack/animation-implement"><img src="https://agentmods.dev/badge/skills/m-binimran/dev-pack/animation-implement/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/m-binimran/dev-pack/animation-implement"><img src="https://agentmods.dev/badge/skills/m-binimran/dev-pack/animation-implement.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 | $0.00050 | $0.00406 |
| Opus 5.5 | $0.00020 | $0.00162 |
| Sonnet 5.5 | $0.00010 | $0.00081 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
animation-implement 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 1mo 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.
What it actually says
animation-implement
Pick one primary engine, animate cheap properties, and never ship motion without a reduced-motion path.
Choose the engine
| Need | Tool |
|---|---|
| React enter/exit, layout, stagger | Motion (motion/react) |
| Scroll timelines, pinning, parallax | GSAP + ScrollTrigger (useGSAP) |
| SVG path draw / morph | Anime.js (strokeDashoffset) |
| Physics / drag | React Spring |
| Zero-JS micro-interaction | tailwindcss-motion classes |
| Prebuilt animated marketing bits | Magic UI |
Primary = Motion (UI) or GSAP (cinematic scroll). Use the other sparingly. Don't ship both heavily.
MANDATORY reduced-motion (the reduced-motion-guard hook checks this)
- Motion:
useReducedMotion()→ zero distance/duration when reduced. - GSAP:
if (window.matchMedia("(prefers-reduced-motion: reduce)").matches) return;before building the timeline. - CSS: ship the global
@media (prefers-reduced-motion: reduce)reset. - Content must be fully visible/readable with motion off.
Performance
- Animate only
transform+opacity. No animating width/top/left (layout thrash). - 60fps — verify in DevTools Performance. Kill GSAP timelines on unmount (
return () => tl.kill()).
Output
- The animation code, the engine chosen + why, and the reduced-motion fallback shown explicitly.
Guardrails
- No looping/flashing/rapid motion (seizure risk) regardless of preference.
- Don't mix two heavy engines on the same surface.
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.
- 1mo ago First seen · 38 lines · 50 tokens per session scan A 9b54c24d0035
animation-implement is a skill published in the GitHub repository m-binimran/dev-pack (2 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 406 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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