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 friuns2 · Codex Skill · ★ 911
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-mobile safe to install? View the security audit →
🔥 codexapp 🚀 Run Codex App UI Anywhere: Linux, Windows, or Termux on Android 🚀 Codex UI in your browser. No drama. One command. Yes, that is your Codex desktop app experience exposed over web UI. Yes, it runs cross-platform. 🤯 What Is This? is a lightweight bridge that gives you a browser-accessible UI for Codex app-server workflows. You run one command. It starts a local web server. You open it from your machine, your LAN, or wherever your setup allows. TL;DR 🧠: Codex app UI, unlo
| Stars | 911 |
| Forks | 190 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.4797512943302/100 |
| Open Issues | 44 |
| Last Updated | 2026-05-26 |
| Created | 2026-02-21 |
| Platforms | claude-code, codex, gemini, node |
| Est. Tokens | ~424k |
These tools work well together with codex-mobile for enhanced workflows:
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Explore other popular codex skill tools:
codex-mobile is 🚀 Run Codex Mobile Anywhere: Linux, Windows, or Termux on Android 🚀. It is categorized as a Codex Skill with 911 GitHub stars.
codex-mobile is primarily written in TypeScript. It covers topics such as agentic-ai, ai-agents, ai-assistant.
You can find installation instructions and usage details in the codex-mobile GitHub repository at github.com/friuns2/codex-mobile. The project has 911 stars and 190 forks, indicating an active community.
codex-mobile is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codex-mobile on Agent Skills Hub include the-pair, py-gpt, claude-council. 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: