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 agentlas-ai/agentlas-desktop --skill motiongit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/motion)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/motion"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/motion/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/agentlas-ai/agentlas-desktop/motion"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/motion.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 | $0.00030 | $0.00622 |
| Opus 5.5 | $0.00012 | $0.00249 |
| Sonnet 5.5 | $0.00006 | $0.00124 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
motion 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.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Purpose
Elevates static prototypes into living, responsive interfaces by designing and implementing code-based UI motion, tactile micro-interactions, origin-aware popovers, and smooth choreography based on $motion-system principles.
Preconditions
- An existing prototype or UI component codebase (HTML/CSS/JS or React/framework) must be present.
- Adhere to
$motion-systemand$critical-overrides.
Steps
- Identify Motion Opportunities:
- Tactile Micro-interactions: Button active compressions (
scale(0.97)), toggle switches, tab sliding indicators, and hover glows. - Surface Transitions: Modals, bottom sheets, dropdown menus, and toast notifications.
- Choreography & Stagger: Sequential card entrances (20-40ms offset) and skeleton shimmer loading states.
- Scroll & Gestures: Parallax header compressions, sticky element locks, and swipe-to-dismiss actions.
- Tactile Micro-interactions: Button active compressions (
- Select Implementation Mechanism:
- For Vanilla CSS/JS projects: Inject CSS variables and custom properties from
$motion-system. - For React/Next.js/Vite projects: Utilize Framer Motion (
motion.div, spring physics,AnimatePresence) or Web Animations API.
- For Vanilla CSS/JS projects: Inject CSS variables and custom properties from
- Apply 3-Tier Motion Tokens & Springs:
- Apply snappy springs (
stiffness: 400, damping: 30) for quick interactive controls (<180ms). - Apply gentle springs (
stiffness: 200, damping: 25) for major surface transitions (<300ms). - Ensure origin-aware transforms (
transform-origin) for context menus and popovers.
- Apply snappy springs (
- Enforce 60fps GPU Constraints:
- Restrict animations strictly to
transformandopacity. - Eliminate layout thrashing by removing transitions on
width,height,top, andleft.
- Restrict animations strictly to
- Add Accessibility Fallbacks:
- Implement
@media (prefers-reduced-motion: reduce)to disable motion or substitute instant opacity fades.
- Implement
Outputs
- Updated component stylesheets or motion component files containing interactive motion logic.
- Responsive, tactile micro-interactions and smooth transitions in the running prototype.
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 Changed · +4 lines 4603c36ec981
- 1mo ago First seen · 40 lines · 30 tokens per session scan A d55df491b7f6
motion is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 30 tokens to every session and 622 once invoked, about $0.0001 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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