claude-skill-web-clone: Methodology for faithfully cloning any website (static / React / WebGL) — without copying AI-hallucinated code

by Jane-xiaoer · Claude Skill · ★ 957

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

How to install claude-skill-web-clone

git clone https://github.com/Jane-xiaoer/claude-skill-web-clone.git ~/.claude/skills/web-clone

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

Security audit verdict: SAFE · quality 71/100

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.

claude-codeclaude-code-skillmethodologyreverse-engineeringskillweb-cloningwebgl

Quick Facts

Stars957
Forks119
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score71/100
Open Issues1
Last Updated2026-06-30
Created2026-05-28
Platformsbrowser, claude-code, node
Est. Tokens~8k

About claude-skill-web-clone

🪞 Web Clone · 网站复刻方法论 Reproduce any website — from a single-file static page to a WebGL-heavy interactive demo — without faking it from AI hallucinations. 把任何一个网站(从单文件静态页到 WebGL 重前端 demo)忠实复刻出来 —— 不靠 AI 臆测代码硬抄。 English · 中文 What this skill does You see a website you love. You want to clone it — to learn how it works, to remix it into your own thing, or to run it offline.

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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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