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 codedogQBY · Agent Tool · ★ 2.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ReadAny safe to install? View the security audit →
ReadAny Local-first AI e-book reader for desktop and mobile "Why do I forget what I read? Why are my notes scattered? Why can I only search by keywords?" ReadAny helps you ask questions about books, find ideas by meaning, and build a private reading knowledge base with RAG chat, semantic search, highlights, TTS, and WebDAV sync. 🚀 v2.0 Update: Mobile apps (iOS/Android) now available! See Mobile section below. AI-Native Reading
| Stars | 2,353 |
| Forks | 183 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 66.4118451586435/100 |
| Open Issues | 342 |
| Last Updated | 2026-09-10 |
| Created | 2026-02-25 |
| Platforms | browser, node |
| Est. Tokens | ~17k |
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ReadAny is AI-powered cross-platform e-book reader with semantic search, RAG chat, local vector store, notes, TTS, and WebDAV sync.. It is categorized as a Agent Tool with 2.4k GitHub stars.
ReadAny is primarily written in TypeScript. It covers topics such as ai, anthropic, ebook-reader.
You can find installation instructions and usage details in the ReadAny GitHub repository at github.com/codedogQBY/ReadAny. The project has 2.4k stars and 183 forks, indicating an active community.
The top alternatives to ReadAny on Agent Skills Hub include honcho, ruby_llm, voltagent. 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: