ljg-skill-the-one: 本质提取器 — 用第一性原理提炼极简公式,生成可视化 HTML 卡片

by lijigang · AI Tool · ★ 50

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How to install ljg-skill-the-one

/plugin marketplace add lijigang/ljg-skill-the-one

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

Security audit verdict: SAFE · quality 53/100

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

Stars50
Forks9
LanguageHTML
CategoryAI Tool
LicenseMIT
Quality Score53/100
Last Updated2026-02-26
Created2026-02-26
Est. Tokens~1k

About ljg-skill-the-one

ljg-skill-the-one 本质提取器 — 一个 Claude Code Skill,用第一性原理从任何书籍、概念或想法中提炼出一个极简公式(The One),并通过证伪找到边界条件,生成可视化 HTML 卡片。 功能 解构→升维→形式化:从表象中剥离噪音,识别核心矛盾与动力机制,提炼不超过 5 个变量的本质公式 证伪与边界:为每个公式找到真实、尖锐的边界条件(至少 2-3 个),而非泛泛的"极端情况" 情感自适应配色:根据内容情感基调(警示/成长/智慧/财富/平衡/力量/沉稳)自动匹配主题色系 Bento Grid 可视化卡片:生成包含来源、表象、公式、核心逻辑、Mermaid 思维路径图、边界条件的完整 HTML 卡片 安装 使用 输出示例 生成的 HTML 卡片包含 6 个 Bento 区块: 卡片保存至 ,自动在浏览器中打开。 设计原则 极简:公式变量不超过 5...

Compatible Skills

These tools work well together with ljg-skill-the-one for enhanced workflows:

  • slide-creator — semantic(0.26)+complementary+same_lang+similar_pop (49%)
  • hm_editor — semantic(0.17)+complementary+same_lang+similar_pop (46%)

ljg-skill-the-one alternative? Top 2 similar tools

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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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