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 micro-100-200msgit 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/micro-100-200ms)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/micro-100-200ms"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/micro-100-200ms/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/micro-100-200ms"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/micro-100-200ms.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 | $0.00036 | $0.00615 |
| Opus 5 | $0.00018 | $0.00308 |
| Sonnet 5 | $0.00007 | $0.00123 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
micro-100-200ms 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Micro Animations (100-200ms)
The 100-200ms range is the sweet spot for micro-interactions. Fast enough to feel responsive, slow enough to be perceived as intentional motion.
Disney Principles at Micro Speed
Works Well
Squash & Stretch: Light application - 5-10% works for bouncy buttons, appearing elements.
Anticipation: Micro-anticipation possible - 20-30ms wind-up before 150ms action.
Staging: Single focal point - one element moving, rest static.
Straight Ahead/Pose to Pose: Either works - simple enough for straight ahead, controlled enough for poses.
Follow Through: Minimal overshoot - 2-5% past target, settle quickly.
Slow In/Slow Out: ease-out dominates - elements should arrive confidently.
Arcs: Slight curves possible - dropdown items can arc subtly rather than straight down.
Secondary Action: One secondary max - icon rotates while menu opens.
Timing: 6-12 frames at 60fps. Enough for smooth motion.
Exaggeration: Moderate - scale 0.9-1.1, rotation up to 30 degrees.
Solid Drawing: Simple transforms - scale, opacity, short translations.
Appeal: Quick animations feel modern and polished.
Doesn't Work
- Long travel distances
- Complex choreography
- Heavy physics simulations
- Multi-stage reveals
- Elaborate anticipation sequences
Easing Recommendations
/* Standard micro-interaction */
transition: all 150ms ease-out;
/* Appearing elements - start fast, land soft */
transition: opacity 120ms ease-out, transform 150ms ease-out;
/* Bouncy micro-feedback */
transition: transform 180ms cubic-bezier(0.34, 1.56, 0.64, 1);
Best Use Cases
- Tooltip appearance
- Dropdown menus opening
- Icon state changes
- Small hover animations
- Notification badges
- Tab switches
- Accordion headers
Implementation Pattern
.tooltip {
opacity: 0;
transform: translateY(-4px) scale(0.95);
transition: opacity 120ms ease-out,
transform 150ms ease-out;
}
.trigger:hover .tooltip {
opacity: 1;
transform: translateY(0) scale(1);
}
.dropdown-item {
opacity: 0;
transform: translateY(-8px);
transition: all 150ms ease-out;
}
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 · 94 lines · 36 tokens per session scan A 06d59cd51378
micro-100-200ms is a skill published in the GitHub repository dylantarre/animation-principles (81 stars, last pushed 8mo ago), licensed MIT. It adds 36 tokens to every session and 615 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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