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 conversun · Codex Skill · ★ 744
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fnos-apps safe to install? View the security audit →
fnOS Apps 面向飞牛 fnOS 的第三方应用打包仓库。自动跟踪上游版本，构建可直接安装的 包。 ⭐️ 如果觉得本项目对你有帮助，请右上角点个 Star！ 应用一览 💡 推荐先安装 fnOS Apps 应用中心，可一键管理以下所有应用的安装与更新。 📦 应用中心 🤖 AI | <img src="apps/nanobot/fnos/ICON.PNG" width=
| Stars | 744 |
| Forks | 69 |
| Language | Shell |
| Category | Codex Skill |
| License | GPL-3.0 |
| Quality Score | 53.2651338341589/100 |
| Open Issues | 26 |
| Last Updated | 2026-09-22 |
| Created | 2026-02-06 |
| Platforms | cli |
| Est. Tokens | ~18k |
These tools work well together with fnos-apps for enhanced workflows:
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fnos-apps is 飞牛 fnOS NAS 第三方应用商店 — 115 款自托管应用的 .fpk 安装包 | Plex, Emby, Jellyfin, qBittorrent, Immich, Sonarr, Radarr, Vaultwarden, ZeroClaw AI, OpenClaw 等 | 每日自动同步上游版本. It is categorized as a Codex Skill with 744 GitHub stars.
fnos-apps is primarily written in Shell. It covers topics such as ani-rss, audiobookshelf, emby.
You can find installation instructions and usage details in the fnos-apps GitHub repository at github.com/conversun/fnos-apps. The project has 744 stars and 69 forks, indicating an active community.
fnos-apps is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to fnos-apps on Agent Skills Hub include yantr, openclaw-android, harbor. 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: