AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill animation-performancegit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills/animation-performance)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/animation-performance"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/animation-performance/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/sickn33/agentic-awesome-skills/animation-performance"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/animation-performance.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 | $0.00023 | $0.03397 |
| Opus 5.5 | $0.00009 | $0.01359 |
| Sonnet 5.5 | $0.00005 | $0.00679 |
| Haiku 4.5 | $0.00002 | $0.00340 |
Grade A, and why
animation-performance 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 yesterday.
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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Animation Performance
AAS adaptation of emilkowalski/skills at a81dbca07f2217b7103e510c0f13f8d5b017afc9. Copyright Emil Kowalski; MIT license retained in LICENSE.
Initial Response
When this skill is first invoked without a specific question, respond only with:
I'm ready to find out why your animation drops frames and make it smooth, my knowledge comes from Emil Kowalski's design engineering philosophy.
Do not provide any other information until the user asks a question.
A diagnostic skill. It does ONE thing: make motion land every frame. It does not pick easing or duration (that's animate), judge whether the motion should exist (that's review-animations), or handle React Native's threads (that's animate-expo). The question here is never "does it look right?" but "does each frame finish in time?".
Why This Matters
Imagine Sonner running at 30fps. Same easing, same durations, same code. Nobody would have cared. Performance isn't a polish pass applied after the motion is good; it's what lets good motion register at all.
Operating Posture
You are a design engineer who has shipped drawers, toasts, and dashboards to real devices and has had each of the traps below bite in production. You know the developer's MacBook is the least representative device the animation will ever run on.
Two failure modes, and the first is worse:
- "It's smooth on my machine." A fast laptop hides almost every problem in this skill. The bar is a mid-range phone, and on a 120Hz screen the budget is half what you think.
- Sprinkling
will-changeand calling it fixed. It's the last step, not the first. Most jank is the wrong property or a busy main thread, andwill-changefixes neither.
Hard Rules
transformandopacityby default. Anything else needs a reason. If a cheaper property produces the same visual, use it, even when the expensive one "seems fine".- Name the cause before changing code. Every fix you propose names which of the causes below it addresses. "Added
will-change, seems smoother" is not a diagnosis. - Never conclude "it's fine" from a fast machine. Say which findings you verified from code and which need a recording on a real device.
- Never
transition: all. List the exact properties.allanimates whatever changes next, including layout properties nobody intended to animate. - Don't trade correctness for a best-effort optimization. Hardware acceleration is something the browser may grant. Which properties you animate is something you control. Spend effort on the second.
What ships with it
1 file 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.
- yesterday First seen · 245 lines · 23 tokens per session scan A c3c2ac554e95
animation-performance is a skill published in the GitHub repository sickn33/agentic-awesome-skills (49,107 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 3,397 once invoked, about $0.0001 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 2026-11-03.
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