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 Kevin-Liu-01/Agent-Machines --skill react-spring-physicsgit clone --depth 1 https://github.com/Kevin-Liu-01/Agent-MachinesWrote 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/kevin-liu-01/agent-machines/react-spring-physics)<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/react-spring-physics"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/react-spring-physics.svg" alt="Measured on agentmods" 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 | $0.00102 | $0.02998 |
| Opus 5 | $0.00051 | $0.01499 |
| Sonnet 5 | $0.00020 | $0.00600 |
| Haiku 4.5 | $0.00010 | $0.00300 |
Grade A, and why
react-spring-physics 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 4d 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
100% identical to react-spring-physics — 0 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.
How it starts
The opening of the file, as written. The whole thing — 465 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React Spring Physics
Physics-based animation for React applications combining React Spring's declarative spring animations with Popmotion's low-level physics utilities.
Overview
React Spring provides spring-physics animations that feel natural and interruptible. Unlike duration-based animations, springs calculate motion based on physical properties (mass, tension, friction), resulting in organic, realistic movement. Popmotion complements this with composable animation functions for keyframes, decay, and inertia.
When to use this skill:
- Natural, physics-based UI animations
- Gesture-driven interfaces (drag, swipe, scroll)
- Interruptible animations that respond to user input mid-motion
- Smooth transitions that maintain velocity across state changes
- Momentum scrolling and inertia effects
Core libraries:
@react-spring/web- React hooks for spring animations@react-spring/three- Three.js integrationpopmotion- Low-level animation utilities (optional, for advanced use cases)
Core Concepts
Spring Physics
Springs animate values from current state to target state using physical simulation:
import { useSpring, animated } from '@react-spring/web'
function SpringExample() {
const springs = useSpring({
from: { opacity: 0, y: -40 },
to: { opacity: 1, y: 0 },
config: {
mass: 1, // Weight of object
tension: 170, // Spring strength
friction: 26 // Opposing force
}
})
return <animated.div style={springs}>Hello</animated.div>
}
useSpring Hook Patterns
Two initialization patterns for different use cases:
// Object config (simpler, auto-updates on prop changes)
const springs = useSpring({
from: { x: 0 },
to: { x: 100 }
})
// Function config (more control, returns API for imperative updates)
const [springs, api] = useSpring(() => ({
from: { x: 0 }
}), [])
// Trigger animation via API
const handleClick = () => {
api.start({
from: { x: 0 },
to: { x: 100 }
})
}
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.
- 4d ago First seen · 465 lines · 102 tokens per session scan A d47b271de8be
react-spring-physics is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (26 stars, last pushed 7d ago), licensed MIT. It adds 102 tokens to every session and 2,998 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to react-spring-physics, differing in 0 lines, and is treated as a copy.
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