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 adilkalam/orca --skill motion-design-principlesgit clone --depth 1 https://github.com/adilkalam/orcaWrote 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/adilkalam/orca/motion-design-principles)<a href="https://agentmods.dev/skills/adilkalam/orca/motion-design-principles"><img src="https://agentmods.dev/badge/skills/adilkalam/orca/motion-design-principles/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/adilkalam/orca/motion-design-principles"><img src="https://agentmods.dev/badge/skills/adilkalam/orca/motion-design-principles.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 | $0.01443 |
| Opus 5.5 | $0.00012 | $0.00577 |
| Sonnet 5.5 | $0.00006 | $0.00289 |
| Haiku 4.5 | $0.00003 | $0.00144 |
Grade A, and why
motion-design-principles 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Motion Design Principles
Three-Tier Animation Decision Tree
Choose the SIMPLEST tier that achieves the effect. Never escalate without reason.
Tier 1: CSS Scroll-Driven Animations
Use when: Simple reveals, hover effects, viewport-triggered fades.
Technology: CSS animation-timeline: scroll(), @keyframes, transition.
Advantages: Zero JS, best performance, compositor-only.
/* Tier 1 example: simple fade-up on scroll */
@keyframes fade-up {
from { opacity: 0; transform: translateY(var(--motion-reveal-distance, 40px)); }
to { opacity: 1; transform: translateY(0); }
}
.reveal-on-scroll {
animation: fade-up linear both;
animation-timeline: view();
animation-range: entry 0% entry 30%;
}
Decision: If a simple CSS scroll-driven animation achieves the effect, STOP HERE.
Tier 2: GSAP ScrollTrigger
Use when: Choreographed sequences, pinning, horizontal scroll, split text, staggered children, scrub-linked animations. Technology: GSAP 3 + ScrollTrigger plugin + optionally SplitText, Flip. Advantages: Timeline control, pin support, scrub, responsive via matchMedia.
Decision: If the effect needs timeline choreography, scrub, or pinning, use GSAP.
Tier 3: Three.js / WebGL
Use when: 3D scenes, particle systems, model rendering, camera scroll animation. Technology: [email protected] (vanilla, NOT React Three Fiber). Advantages: Full 3D, GPU-powered, immersive experiences.
Decision: Only when the effect is inherently 3D. Never for 2D scroll effects.
Composition Rules
Stagger Timing
- Base stagger: use design-dna
motion.duration.stagger(default 0.12s) - Max visible staggers: 8-12 elements. Beyond that, use batch reveals.
- Stagger direction: follow reading order (left-to-right, top-to-bottom)
Easing Selection by Context
| Context | Easing | Design-DNA Token |
|---|---|---|
| Element entering viewport | Decelerate | motion.easing.entrance |
| Element leaving viewport | Accelerate | motion.easing.exit |
| Emphasis/attention | Elastic/bounce | motion.easing.emphasis |
| Continuous/scrub | Linear or none | motion.easing.smooth |
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 · 158 lines · 30 tokens per session scan A 72fb03ed7733
motion-design-principles is a skill published in the GitHub repository adilkalam/orca (2 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 1,443 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 2026-09-03.
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