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 forms-inputsgit 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/forms-inputs)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/forms-inputs"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/forms-inputs/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/forms-inputs"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/forms-inputs.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 | $0.00027 | $0.00698 |
| Opus 5 | $0.00014 | $0.00349 |
| Sonnet 5 | $0.00005 | $0.00140 |
| Haiku 4.5 | $0.00003 | $0.00070 |
Grade A, and why
forms-inputs 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 8d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Form & Input Animation Principles
Apply Disney's 12 principles to forms for clear feedback and delightful interactions.
Principles Applied to Form Elements
1. Squash & Stretch
Input fields can subtly expand on focus (1-2px height). Submit button compresses on click. Checkboxes bounce on toggle.
2. Anticipation
Label floats up before user types. Focus ring appears before content entry. Prepares user for input action.
3. Staging
Focused input should be visually prominent: border color, shadow, label position. Other fields can slightly dim. Guide attention.
4. Straight Ahead & Pose to Pose
Define input states: default, focus, filled, valid, invalid, disabled. Clear poses for each state with smooth transitions.
5. Follow Through & Overlapping Action
Floating label settles after reaching final position. Validation icon can bounce slightly. Character counter updates with subtle motion.
6. Ease In & Ease Out
Focus transitions: ease-out. Validation feedback: ease-in-out. Label float: cubic-bezier(0.4, 0, 0.2, 1).
7. Arcs
Floating labels should arc slightly during upward movement, not straight line. Adds organic feel to mechanical action.
8. Secondary Action
While border highlights (primary), label floats (secondary), helper text appears (tertiary). Coordinate without overwhelming.
9. Timing
- Focus border: 100-150ms
- Label float: 150-200ms
- Validation feedback: 200ms
- Error shake: 300ms (3-4 cycles)
- Success check: 250ms
- Checkbox toggle: 150ms
10. Exaggeration
Error states can shake (4-6px, 2-3 times). Success states can pulse green briefly. Invalid inputs deserve clear, noticeable feedback.
11. Solid Drawing
Maintain border-radius consistency. Label typography should stay crisp during transform. Icons should scale proportionally.
12. Appeal
Responsive forms feel modern. Micro-animations guide users. Satisfying feedback reduces form abandonment. Worth the investment.
CSS Implementation
.input-field {
transition: border-color 150ms ease-out,
box-shadow 150ms ease-out;
}
.floating-label {
transition: transform 200ms cubic-bezier(0.4, 0, 0.2, 1),
font-size 200ms ease-out,
color 150ms ease-out;
}
.input-field:focus + .floating-label {
transform: translateY(-24px) scale(0.85);
}
@keyframes shake {
0%, 100% { transform: translateX(0); }
25% { transform: translateX(-5px); }
75% { transform: translateX(5px); }
}
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.
- 8d ago First seen · 84 lines · 27 tokens per session scan A 9db4795d1ebd
forms-inputs is a skill published in the GitHub repository dylantarre/animation-principles (80 stars, last pushed 8mo ago), licensed MIT. It adds 27 tokens to every session and 698 once invoked, about $0.0001 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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