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 joeseesun · Agent Tool · ★ 244
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is qiaomu-book-reader-legacy safe to install? View the security audit →
Qiaomu Book Reader 中文 · English · 下载最新版 · 问题反馈 不离开书页，读懂一个观点，留下一条真正有用的笔记。 Read, ask, and keep what matters — without leaving your book in Obsidian. Qiaomu Book Reader 是中文优先的 Obsidian EPUB、FB2 和 PDF 阅读器。它把舒适阅读 → 就地提问 → 保存笔记 → 返回原文放在同一个工作流里，减少在阅读器、聊天窗口和笔记应用之间来回复制。 阅读本身完全离线，每本书关联一篇 Markdown 阅读笔记；AI 是可选能力，由你选择服务并主动启用。 安装与快速开始 · 功能导览 · 构建验证 · GPL-3.0 许可 版本说明：下面展示的是当前 4.1.0 源码构建，BRAT 和下载版本以 GitHub Releases 为准。合并 main 不会自动更新已安装插件。 截图来自 Computer Use 操作的真实 Obsidian 1.13.7，使用原创演示书和明确标注的示例对话，不含私人仓库或商业书籍页面；示例回答不是模型效果或速度评测。详见截图与验证说明。 你会得到什么 | 自选 AI
| Stars | 244 |
| Forks | 21 |
| Language | CSS |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 64.0209455497516/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-07 |
| Created | 2026-09-01 |
| Est. Tokens | ~19k |
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qiaomu-book-reader-legacy is 在 Obsidian 中阅读 EPUB、FB2 与 PDF，划线批注、就地问 AI、笔记回到原文 | Read EPUB/FB2/PDF in Obsidian: highlights, inline AI Q&A, and notes that link back to the source.. It is categorized as a Agent Tool with 244 GitHub stars.
qiaomu-book-reader-legacy is primarily written in CSS. It covers topics such as ai-assistant, brat, chinese.
You can find installation instructions and usage details in the qiaomu-book-reader-legacy GitHub repository at github.com/joeseesun/qiaomu-book-reader-legacy. The project has 244 stars and 21 forks, indicating an active community.
qiaomu-book-reader-legacy is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to qiaomu-book-reader-legacy on Agent Skills Hub include agentfiles, katmer-code, obsidian-mcp-plugin. 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: