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 Leutenegger · Claude Skill · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is book-to-skill safe to install? View the security audit →
book-to-skill Turn any technical book, document folder, or collection of sources into a unified agent skill — ready to study, reference, and use while you work in GitHub Copilot CLI, Amp, or Claude Code. Why · What it generates · Beyond books · How it works · Usage · Install · FAQ · Performance · Changelog 24×–51× fewer tokens than dumping the book into context to answer one question, measured on real books.
| Stars | 1,055 |
| Forks | 135 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 72.324675833863/100 |
| Last Updated | 2026-08-14 |
| Created | 2026-08-13 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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book-to-skill is Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.. It is categorized as a Claude Skill with 1.1k GitHub stars.
book-to-skill is primarily written in Python. It covers topics such as agent, agent-memory, agent-skill.
You can find installation instructions and usage details in the book-to-skill GitHub repository at github.com/Leutenegger/book-to-skill. The project has 1.1k stars and 135 forks, indicating an active community.
book-to-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to book-to-skill on Agent Skills Hub include ios-simulator-skill, pro-workflow, Claude-Code-Everything-You-Need-to-Know. 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: