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 →
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Luo safe to install? View the security audit →
Luo 落文 正在造字中的中文字体，面向纸面排版和长文阅读。 这套字 Luo 落文是一套正在造字中的开源中文字体，面向文章、文档、封面和项目官网等纸面感场景，取法私有印刷楷意参考所抽象出的理性楷意风格，结合魏晋小楷的清瘦骨法，保持笔画决断、端正含蓄、轮廓干净。 落文不做书法复刻，不追求手写感，也不靠古风装饰制造气质，希望在真实排版里安静、有秩序，读久了不腻。 关键词：有骨节、决断利落、纸面耐读、端正含蓄、现代可排版。 造字状态 落文当前是 v0.4 print-kai 预览版。相比 v0.3，这一版主动把设计方向从 "LXGW WenKai 派生的软楷" 挪到 "私有印刷楷意参考所抽象出的理性楷意 + 魏晋小楷骨法"，风格比例从 v0.3 的 50/40/10 调整到 v0.4 的 60/30/10。底盘字 LXGW WenKai Screen v1.522 不变，通过新增 pass + 重调 15 个参数来实现转向。 v0.4 已覆盖官网、README、两页纸试读、内部打印样张和一组核心校准字，可以用来查看风格、试排页面和参与造字反馈，但还不是完整 GB2312。v0.3 final 已打 tag 保留可回退。 后续会继续扩字、校准部件、检查小字号灰度和打印效果，字形、覆盖范围、文件大小和构建方式都可能继续调整，正式使用前建议先看网页样张、纸面试读和常用字校准页。 预览 网页样张：luo.tw93.fun 本地样张：index.html GB2312 常用字校准：proof/gb2312.html 风格规范与批量改字提示：STYLE.md
| Stars | 51 |
| Forks | 0 |
| Language | Python |
| Category | AI Tool |
| Quality Score | 51.6514572713002/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-13 |
| Created | 2026-05-03 |
| Platforms | python |
| Est. Tokens | ~14k |
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Luo is Luo 落文：正在造字中的中文字体，面向纸面排版和长文阅读。. It is categorized as a AI Tool with 51 GitHub stars.
Luo is primarily written in Python. It covers topics such as chinese-font, cjk, font.
You can find installation instructions and usage details in the Luo GitHub repository at github.com/tw93/Luo. The project has 51 stars and 0 forks, indicating an active community.
The top alternatives to Luo on Agent Skills Hub include ru-text, loom-notes, 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: