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 dylantarre/animation-principles --skill large-500-800msgit clone --depth 1 https://github.com/dylantarre/animation-principlesWrote 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/dylantarre/animation-principles/large-500-800ms)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/large-500-800ms"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/large-500-800ms/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/dylantarre/animation-principles/large-500-800ms"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/large-500-800ms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00034 | $0.00721 |
| Opus 5 | $0.00017 | $0.00360 |
| Sonnet 5 | $0.00007 | $0.00144 |
| Haiku 4.5 | $0.00003 | $0.00072 |
Grade A, and why
large-500-800ms 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 9d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Large Animations (500-800ms)
At 500-800ms, animations become events. Users stop and watch. Reserve this duration for significant moments that deserve attention and communicate importance.
Disney Principles at Large Scale
Full Expression of All Principles
Squash & Stretch: Dramatic deformation - 20-30% stretch visible and characterful. Objects feel elastic and alive.
Anticipation: Extended wind-up - 150-200ms anticipation sells the action. Clear "about to happen" signal.
Staging: Sophisticated choreography - multiple elements with clear hierarchy and timing offsets.
Straight Ahead/Pose to Pose: Definitely pose to pose - complex motion needs keyframe control.
Follow Through: Extended settling - elements continue moving 100-200ms after main action completes.
Slow In/Slow Out: Dramatic easing - strong deceleration creates impact at endpoints.
Arcs: Essential - all movement should follow natural curved paths.
Secondary Action: Rich layering - primary, secondary, and tertiary actions possible.
Timing: 30-48 frames at 60fps. Full cinematic range.
Exaggeration: Go bold - this duration supports theatrical expression.
Solid Drawing: Full 3D transforms - depth, perspective, complex rotations.
Appeal: Memorable moments - users will recall these animations.
Easing Recommendations
/* Dramatic entrance */
transition: all 600ms cubic-bezier(0.16, 1, 0.3, 1);
/* Powerful deceleration */
transition: all 700ms cubic-bezier(0, 0.55, 0.45, 1);
/* Elastic landing */
transition: transform 650ms cubic-bezier(0.68, -0.55, 0.265, 1.55);
/* Smooth, cinematic */
transition: all 800ms cubic-bezier(0.25, 0.1, 0.25, 1);
Best Use Cases
- Hero image/section reveals
- Major feature introductions
- Success/completion celebrations
- Onboarding sequences
- Dashboard data loads
- Portfolio piece reveals
- First-time user experiences
- Important state changes
Implementation Pattern
.hero-reveal {
opacity: 0;
transform: translateY(60px) scale(0.9);
transition: opacity 500ms ease-out,
transform 700ms cubic-bezier(0.16, 1, 0.3, 1);
}
.hero-reveal.visible {
opacity: 1;
transform: translateY(0) scale(1);
}
/* Staggered reveal with follow-through */
.hero-title { transition-delay: 0ms; }
.hero-subtitle { transition-delay: 100ms; }
.hero-cta { transition-delay: 200ms; }
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.
- 9d ago First seen · 95 lines · 34 tokens per session scan A 4bea54baaea9
large-500-800ms is a skill published in the GitHub repository dylantarre/animation-principles (81 stars, last pushed 8mo ago), licensed MIT. It adds 34 tokens to every session and 721 once invoked, about $0.0002 per session on Opus 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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