motion-web: Build motion-first, high-touch creative websites on vanilla Three.js / Canvas 2D / WebGL / CSS

by feitangyuan · Agent Tool · ★ 837

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

How to install motion-web

git clone https://github.com/feitangyuan/motion-web.git ~/.claude/skills/motion-web
git clone https://github.com/feitangyuan/motion-web.git ~/.agents/skills/motion-web

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

Security audit verdict: SAFE · quality 61/100

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.

Quick Facts

Stars837
Forks63
LanguageHTML
CategoryAgent Tool
Quality Score61/100
Open Issues3
Last Updated2026-11-05
Created2026-09-08
Platformsbrowser, claude-code
Est. Tokens~17k

About motion-web

motion-web Build motion-first, high-touch creative websites on vanilla Three.js / Canvas 2D / WebGL / CSS. A Claude Agent Skill with real-world physics, token discipline, and automated headless verification. 动效即材质:面向 Agent 与前端工程师的高手感交互动效体系。内置 7 大完整案例、物理阻尼求解器、排版规范与自动化 Headless 验证判据。 English | 中文说明 English is a code-first, motion-driven creative web engineering skill.

Compatible Skills

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

  • fluid — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)

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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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