ljg-skill-explain-words — security grade SAFE, quality 52/100

Security audit verdict: SAFE · quality 52/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by lijigang · Claude Skill · ★ 216

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

🔒 Is ljg-skill-explain-words safe to install? View the security audit →

About ljg-skill-explain-words

ljg-skill-explain-words 单词灵魂解剖师 (Word Soul Master) — 一个 Claude Code Skill,深度解构英文单词的核心语义,直击词的灵魂。 功能 核心语义:原始画面 + 核心意象公式 + 深层解释 一语道破:中英双语哲学金句 直接在对话中 Markdown 输出,轻量无依赖 安装 使用 在 Claude Code 中输入: 输出示例 License MIT

Quick Facts

Stars216
Forks19
CategoryClaude Skill
LicenseMIT
Quality Score51.8127414711162/100
Last Updated2026-02-26
Created2026-02-08
Platformsclaude-code
Est. Tokens~1k

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Frequently Asked Questions

What is ljg-skill-explain-words?

ljg-skill-explain-words is 单词灵魂解剖师 — Claude Code Skill,深度解构英文单词,生成博物馆级 HTML 卡片. It is categorized as a Claude Skill with 216 GitHub stars.

How do I install or use ljg-skill-explain-words?

You can find installation instructions and usage details in the ljg-skill-explain-words GitHub repository at github.com/lijigang/ljg-skill-explain-words. The project has 216 stars and 19 forks, indicating an active community.

What license does ljg-skill-explain-words use?

ljg-skill-explain-words is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to ljg-skill-explain-words?

The top alternatives to ljg-skill-explain-words on Agent Skills Hub include digital-marketing-pro, life-sciences, claude-ai-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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