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 feedback-indicatorsgit 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/feedback-indicators)<a href="https://agentmods.dev/skills/dylantarre/animation-principles/feedback-indicators"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/feedback-indicators/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/feedback-indicators"><img src="https://agentmods.dev/badge/skills/dylantarre/animation-principles/feedback-indicators.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 | $0.00032 | $0.00989 |
| Opus 5 | $0.00016 | $0.00495 |
| Sonnet 5 | $0.00006 | $0.00198 |
| Haiku 4.5 | $0.00003 | $0.00099 |
Grade A, and why
feedback-indicators 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feedback Indicator Animations
Apply Disney's 12 principles to action confirmation animations.
Principle Application
Squash & Stretch: Success checkmarks can scale with overshoot. Compress on draw, expand on complete.
Anticipation: Brief gather before feedback appears. 50ms of preparation before the confirmation.
Staging: Feedback appears at the action location. Button shows checkmark, field shows validation.
Straight Ahead vs Pose-to-Pose: Define feedback states: neutral → processing → success/error.
Follow Through & Overlapping: Icon animates, then label appears. Stagger confirmation elements.
Slow In/Slow Out: Success: ease-out (confident arrival). Error: ease-in-out (shake settles).
Arcs: Checkmarks draw in arcs, not straight lines. Error X's cross naturally.
Secondary Action: Checkmark draws + color shifts + scale bounces for rich feedback.
Timing:
- Instant feedback: 100-200ms (form validation)
- Success confirmation: 300-500ms (checkmark draw)
- Error indication: 400ms (shake + message)
- Auto-dismiss: 2000-4000ms after appearance
Exaggeration: Success deserves celebration. Overshoot scale to 1.2, bold colors, confident motion.
Solid Drawing: Feedback icons must be clear at a glance. Recognition in 100ms or less.
Appeal: Positive feedback should feel rewarding. Negative feedback firm but not punishing.
Timing Recommendations
| Feedback Type | Duration | Auto-dismiss | Easing |
|---|---|---|---|
| Inline Validation | 150ms | No | ease-out |
| Checkmark Draw | 400ms | 3000ms | ease-out |
| Success Toast | 300ms | 4000ms | ease-out |
| Error Shake | 400ms | No | ease-in-out |
| Error Toast | 300ms | 6000ms | ease-out |
| Save Indicator | 200ms | 2000ms | ease-out |
Implementation Patterns
/* Checkmark draw */
.checkmark {
stroke-dasharray: 50;
stroke-dashoffset: 50;
animation: draw-check 400ms ease-out forwards;
}
@keyframes draw-check {
to { stroke-dashoffset: 0; }
}
/* Success with scale */
.success-icon {
animation: success 500ms cubic-bezier(0.34, 1.56, 0.64, 1) forwards;
}
@keyframes success {
0% { transform: scale(0); opacity: 0; }
60% { transform: scale(1.2); opacity: 1; }
100% { transform: scale(1); opacity: 1; }
}
/* Error shake */
.error-shake {
animation: shake 400ms ease-in-out;
}
@keyframes shake {
0%, 100% { transform: translateX(0); }
20%, 60% { transform: translateX(-6px); }
40%, 80% { transform: translateX(6px); }
}
/* Inline validation */
.field-valid {
animation: valid-pop 200ms ease-out;
}
@keyframes valid-pop {
0% { transform: scale(0.8); opacity: 0; }
100% { transform: scale(1); opacity: 1; }
}
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 · 132 lines · 32 tokens per session scan A d943e76851e1
feedback-indicators is a skill published in the GitHub repository dylantarre/animation-principles (80 stars, last pushed 8mo ago), licensed MIT. It adds 32 tokens to every session and 989 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 2026-08-30.
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