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 OneWave-AI/claude-skills --skill motion-language-designergit clone --depth 1 https://github.com/OneWave-AI/claude-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/onewave-ai/claude-skills/motion-language-designer)<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/motion-language-designer"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/motion-language-designer/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/onewave-ai/claude-skills/motion-language-designer"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/motion-language-designer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00060 | $0.00839 |
| Opus 5 | $0.00030 | $0.00419 |
| Sonnet 5 | $0.00012 | $0.00168 |
| Haiku 4.5 | $0.00006 | $0.00084 |
Grade A, and why
motion-language-designer 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Motion Language Designer
Design motion the way type and color get designed: as a system with a scale, roles, and rules -- not per-component improvisation. Output is a motion spec plus drop-in implementation (Framer Motion variants, CSS custom properties and keyframes) so the system is enforceable, not aspirational.
Workflow
- Read the brand. From the existing product (or its design tokens and a description of the personality): is this product calm, snappy, playful, austere? Audit any existing animations -- inventory every duration, easing, and effect currently in the codebase. The spread of that inventory (14 different durations is typical) is the motivation slide.
- Define the scale. Duration tokens (
instant~100ms for state feedback,fast~180-220ms for micro-interactions,base~300ms for reveals,slow~500ms+ for scene changes) and an easing vocabulary (standard, decelerate for entrances, accelerate for exits, plus at most ONE signature spring/overshoot -- the personality lives here). Calibrate values to the brand read from step 1, not generic defaults. - Write the choreography rules. The part most systems skip: what animates and what never does; enter/exit asymmetry (exits faster than entrances); stagger rules (children cascade at 30-60ms, capped so long lists do not take seconds); hierarchy (one hero motion per view, everything else supports); distance rules (elements travel short distances -- 8-24px -- not across the screen); and the reduced-motion contract (every animation has a
prefers-reduced-motionbehavior: fade or nothing). - Name the signature moves. 3-5 named, reusable compositions ("card-lift", "panel-reveal", "count-up") that recur across the product and make it recognizable. Each gets a spec: trigger, properties animated, duration/easing tokens used, and when NOT to use it.
- Export.
motion-tokens.json(durations, easings, distances),motion.css(custom properties + keyframes + reduced-motion guards),motion.ts(Framer Motion variants for each signature move, referencing the tokens), andMOTION.md-- the spec a new developer reads before animating anything. - Retrofit pass (optional). Map the step-1 inventory onto the new system: which existing animations snap to which tokens, which are off-system and need changes, which should be deleted (motion that communicates nothing).
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 · 36 lines · 0 tokens per session scan A 04eda98d33d5
motion-language-designer is a skill published in the GitHub repository OneWave-AI/claude-skills (291 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 839 once invoked, about $0.0003 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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