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 Dragoon0x/taste-skills --skill motion-designgit clone --depth 1 https://github.com/Dragoon0x/taste-skillsWrote 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/dragoon0x/taste-skills/motion-design)<a href="https://agentmods.dev/skills/dragoon0x/taste-skills/motion-design"><img src="https://agentmods.dev/badge/skills/dragoon0x/taste-skills/motion-design/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/dragoon0x/taste-skills/motion-design"><img src="https://agentmods.dev/badge/skills/dragoon0x/taste-skills/motion-design.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 | $0.00047 | $0.00355 |
| Opus 5 | $0.00023 | $0.00178 |
| Sonnet 5 | $0.00009 | $0.00071 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
motion-design 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 10d 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.
What it actually says
Motion Design
Animation serves four purposes. If it doesn't serve one of them, remove it.
How to use
/motion-designApply motion design constraints to this conversation.
Constraints
The Four Purposes
- Feedback (50-150ms): Confirms an action was received. Button press, toggle, form submit.
- Orientation (200-400ms): Shows spatial relationships. Sidebar slides in, modal scales from trigger.
- Emphasis (300-600ms): Draws attention. Notification pulse, new element fade-in. Rare and meaningful.
- Delight (variable): Emotional effect. Loading personality, completion celebration. Brief, skippable, never blocking.
- MUST categorize every animation by purpose. If it fits none, remove it.
Taste Signals in Motion
- Restraint. The best-animated interfaces are ones where you don't notice the animation.
- Consistent easing curves across the entire system.
- Physics-based movement (ease-out for arrival, ease-in for departure, never linear for UI).
- Duration proportional to purpose: more functional = faster.
Anti-Patterns
- Loading animations that last longer than the actual load
- Page transitions that delay content access
- Hover effects on every element (motion should guide attention, not create noise)
- Bouncy/elastic easing on functional elements (playful easing is for celebrations, not navigation)
- Motion for motion's sake
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.
- 10d ago First seen · 35 lines · 47 tokens per session scan A f2f00e26249d
motion-design is a skill published in the GitHub repository Dragoon0x/taste-skills (4 stars, last pushed 6mo ago), licensed MIT. It adds 47 tokens to every session and 355 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 2026-08-31.
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