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 drpwchen · Claude Skill · ★ 96
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is textbook-to-note safe to install? View the security audit →
textbook-to-note Turn your own PDF textbooks into an AI-searchable knowledge base and structured, fully-cited notes — figures included. A local-first pipeline that spends (almost) zero LLM tokens on the heavy lifting and reserves the frontier model for the one thing it's uniquely good at: synthesizing a note you can actually learn from. 繁體中文說明 → README.zh-TW.md Why I built this I've loved taking notes since med school, and over the years I've built up thousands of them — but I can no longer keep every one at the same quality by hand. In an age of information overload, trustworthy high-quality sources become the precious thing, and textbooks are among the best; yet my specialty alone has 40+ designated reference books, with a single concept scattered across chapters in many of them. Reading them all cover to cover just isn't realistic. LLMs are great at long context, but you can't dump hundreds of books on one at once — so the real unlock is pairing good search and a database with teaching the AI my own note-making process, so it produces grounded, structured notes I only have to absorb. Left: one of the templates in .
| Stars | 96 |
| Forks | 24 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 59.6283103145577/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-19 |
| Created | 2026-07-19 |
| Platforms | claude-code, python |
| Est. Tokens | ~18k |
These tools work well together with textbook-to-note for enhanced workflows:
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textbook-to-note is Turn your own PDF textbooks into an AI-searchable knowledge base and structured, fully-cited notes — figures included. Local-first, token-frugal.. It is categorized as a Claude Skill with 96 GitHub stars.
textbook-to-note is primarily written in Python. It covers topics such as claude-code, note-taking, obsidian.
You can find installation instructions and usage details in the textbook-to-note GitHub repository at github.com/drpwchen/textbook-to-note. The project has 96 stars and 24 forks, indicating an active community.
textbook-to-note is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to textbook-to-note on Agent Skills Hub include MinerU-Skill, pullmd, pdf-mcp. 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: