oil-motion: Web animation skill for Claude Code & Codex. 帮你做跟着滚动和鼠标动的网页动画

by oil-oil · Claude Skill · ★ 2.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install oil-motion

npx skills add oil-oil/oil-motion

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillagent-skillsai-videoanimationclaude-codeclaude-skillscodexcodex-skillcursordrag

Quick Facts

Stars2,662
Forks197
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score63/100
Open Issues1
Last Updated2026-10-04
Created2026-08-07
Platformsbrowser, claude-code, codex, python
Est. Tokens~14k

About oil-motion

中文 · English Oil Motion 是一个 Agent 通用的交互动画 Skill。它负责设计动作、生成连续画面、整理动画资源,并把最终效果接入页面滚动、鼠标、拖动、触摸或设备方向。 使用时只需要说明希望表达什么、提供哪些素材,以及动画应该跟随什么操作。具体的生成、检查、压缩和前端实现由 Agent 完成。 演示 https://github.com/user-attachments/assets/08e26ad6-ca23-4f31-ac53-44c7692ba99d 安装 把仓库地址交给 Agent: 也可以用命令安装,完成后让 Agent 重新加载 Skill: 适用边界 适合主体本身需要变化的交互动画:角色转头、产品拆解、材质变化、镜头穿越,或者把已有的绿幕视频、雪碧图整理成可以随操作控制的网页资源。 只靠 CSS、JS、SVG、Lottie 或实时 3D...

Compatible Skills

These tools work well together with oil-motion for enhanced workflows:

oil-motion alternative? Top 6 similar tools

Looking for a oil-motion alternative? If you're comparing oil-motion with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • Generative-Media-Skills by SamurAIGPT · ⭐ 4.3k

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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