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 · ★ 468
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ljg-skill-xray-book safe to install? View the security audit →
ljg-skill-xray-book 深度拆书机 (Deep Book X-Ray) — 一个 Claude Code Skill，基于 Epiplexity 原理，通过三轮认知压缩最大化提取书籍中的可学习结构。 功能 支持书名、书籍内容或链接输入 三轮认知压缩：骨架扫描 → 血肉解剖 → 灵魂提取 餐巾纸极限压缩：公式 + 草图 + 一句话 生成 Org-mode 格式报告，含 ASCII 结构图 安装 使用 在 Claude Code 中输入： 输出示例 生成的 Org-mode 报告包含： NAPKIN — 餐巾纸公式、一句话、草图 ROUND 1: SKELETON — 骨架扫描，全局结构 ROUND 2: DISSECTION — 血肉解剖，论证链条 ROUND 3: SOUL — 灵魂提取，跨域迁移 STRUCTURE MAP — ASCII 全书结构图 License MIT
| Stars | 468 |
| Forks | 41 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 47.4329431428708/100 |
| Open Issues | 1 |
| Last Updated | 2026-02-10 |
| Created | 2026-02-08 |
| Platforms | claude-code |
| Est. Tokens | ~1k |
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ljg-skill-xray-book is 深度拆书机 — Claude Code Skill，三轮认知压缩提取书籍可学习结构. It is categorized as a Claude Skill with 468 GitHub stars.
You can find installation instructions and usage details in the ljg-skill-xray-book GitHub repository at github.com/lijigang/ljg-skill-xray-book. The project has 468 stars and 41 forks, indicating an active community.
ljg-skill-xray-book is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ljg-skill-xray-book on Agent Skills Hub include claude-codex-settings, digital-marketing-pro, life-sciences. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: