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 nexu-io/motion-anything --skill lottie-favoritegit clone --depth 1 https://github.com/nexu-io/motion-anythingWrote 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/nexu-io/motion-anything/lottie-favorite)<a href="https://agentmods.dev/skills/nexu-io/motion-anything/lottie-favorite"><img src="https://agentmods.dev/badge/skills/nexu-io/motion-anything/lottie-favorite/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/nexu-io/motion-anything/lottie-favorite"><img src="https://agentmods.dev/badge/skills/nexu-io/motion-anything/lottie-favorite.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 | $0.00073 | $0.00432 |
| Opus 5 | $0.00036 | $0.00216 |
| Sonnet 5 | $0.00015 | $0.00086 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
lottie-favorite 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 8d 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.
This is a copy
89% identical to lottie-fab — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Lottie · Favorite
A heart/favorite icon that animates on toggle — Lottie JSON, portable across web & app. Lottie JSON from spemer/lottie-animations-json
(MIT). Part of motion-anything; obeys MOTION-SPEC.md.
When to use it
- Portable JSON motion identical on web & app; icon/control micro-animations (incl. After Effects / Jitter exports).
When NOT to use it (restraint)
- When a pure-CSS effect would do — don't ship the Lottie runtime for a simple fade.
How to apply
- Include
lottie.min.js(runtime) andanimation.json. lottie.loadAnimation({ container, renderer:'svg', loop:true, autoplay:false, path:'animation.json' }); start on intent / guard reduced-motion.
Accessibility & performance
prefers-reduced-motion: don't autoplay. SVG renderer; motion-as-JSON (portable, AI-readable).
What ships with it
3 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.
- 8d ago First seen · 43 lines · 73 tokens per session scan A 7a6f7babc3b1
lottie-favorite is a skill published in the GitHub repository nexu-io/motion-anything (773 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 73 tokens to every session and 432 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to lottie-fab, differing in 14 lines, and is treated as a copy.
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