by drpwchen · Claude Skill · ★ 109
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
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.
| Stars | 109 |
| Forks | 27 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 61/100 |
| Last Updated | 2026-11-03 |
| Created | 2026-07-19 |
| Platforms | claude-code, python |
| Est. Tokens | ~18k |
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.
These tools work well together with textbook-to-note for enhanced workflows:
Looking for a textbook-to-note alternative? If you're comparing textbook-to-note with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
AI-Native document parser: PDF, Office & images → clean Markdown with LaTeX, tables & OCR. Zero-dependency CLI
Self-hosted URL- and file-to-Markdown service for humans and AI agents - web pages, documents, images, audio,
MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: a
AI-agent skill producing reusable Markdown from PDFs. It turns flowcharts, diagrams, and charts into text besi
PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently
An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vaul
Explore other popular claude skill tools:
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: