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 jangles-byte/atelier --skill motiongit clone --depth 1 https://github.com/jangles-byte/atelierWrote 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/jangles-byte/atelier/motion)<a href="https://agentmods.dev/skills/jangles-byte/atelier/motion"><img src="https://agentmods.dev/badge/skills/jangles-byte/atelier/motion/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/jangles-byte/atelier/motion"><img src="https://agentmods.dev/badge/skills/jangles-byte/atelier/motion.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 | $0.00179 | $0.01104 |
| Opus 5.5 | $0.00072 | $0.00442 |
| Sonnet 5.5 | $0.00036 | $0.00221 |
| Haiku 4.5 | $0.00018 | $0.00110 |
Grade A, and why
motion 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 1mo 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Motion
Motion is communication. Every animation answers one of three questions — what just happened? (feedback), where did it go? (orientation), or is this alive? (character). Animation that answers none of them is decoration on a delay; delete it rather than tune it.
The rule that makes this skill different from reading about animation: you cannot judge motion from source code, and you cannot judge it from a still. Run it, capture it, watch it. There is a script here that does exactly that.
Workflow
- Name the question. Feedback, orientation, or character — and what the motion
temperament is (snappy or viscous, calm or nervous). One line is enough. If the project
has a design philosophy from
design-direction, take the temperament from there. - Start from a recipe, not from scratch. Find the pattern in the recipe files below; they carry tuned values, per-stack code, reduced-motion variants, and the failure mode for each. Adapt the values to your temperament rather than inventing timings.
- Implement with curves and springs from references/easing-and-springs.md.
- Watch it. Capture the running animation and look at the result:
It records real composited frames over the DevTools protocol, so it works for CSS, Web Animations, GSAP/Framer, canvas, and WebGL alike. For native or engine work, use the platform's own capture (simulator recording, engine profiler playback)../scripts/capture-motion.py index.html --out motion.gif \ --trigger "document.querySelector('#open').click()" --duration 1200 - Diagnose if it underwhelms — work references/dead-motion-diagnostic.md in order before touching values, then re-capture. The first render of a fix is a hypothesis.
- Check the frame cost with the
performance-craftskill, and confirm the reduced-motion path is complete and calm — not merely disabled.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 67 lines · 0 tokens per session scan A ea0c371d9ba7
motion is a skill published in the GitHub repository jangles-byte/atelier (3 stars, last pushed 2mo ago), licensed MIT. It adds 179 tokens to every session and 1,104 once invoked, about $0.0007 per session on Opus 5.5. 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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