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 zarazhangrui · Claude Skill · ★ 568
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is youtube-to-ebook safe to install? View the security audit →
YouTube to Ebook Transform YouTube videos from your favorite channels into beautifully formatted EPUB ebooks. Features Fetches latest videos from YouTube channels (automatically filters out Shorts) Extracts transcripts from videos Uses Claude AI to transform transcripts into polished magazine-style articles Generates EPUB ebooks readable on any device Optional: Email delivery with ebook attachment Optional: Web dashboard for easy management Quick Start Clone and install: Set up API keys: Add your channels: Generate your ebook: Getting API Keys YouTube Data API (Free) Go to Google Cloud Console Create a new project Enable "YouTube Data API v3" Create credentials → API Key Copy to Anthropic API Go to Anthropic Console Create an API key Copy to Web Dashboard Launch a friendly web interface: Automation (Mac) Run automatically every week: bash Copy the plist to Laun
| Stars | 568 |
| Forks | 119 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 67.7528589592145/100 |
| Open Issues | 4 |
| Last Updated | 2026-01-28 |
| Created | 2026-01-21 |
| Platforms | claude-code, python |
| Est. Tokens | ~2k |
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youtube-to-ebook is Claude skill for turning YouTube transcripts from your favorite channels into EPUB ebooks, delivered to your email inbox regularly. It is categorized as a Claude Skill with 568 GitHub stars.
youtube-to-ebook is primarily written in Python.
You can find installation instructions and usage details in the youtube-to-ebook GitHub repository at github.com/zarazhangrui/youtube-to-ebook. The project has 568 stars and 119 forks, indicating an active community.
The top alternatives to youtube-to-ebook 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: