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 slopus · Codex Skill · ★ 24.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is happy safe to install? View the security audit →
Mobile and Web Client for Claude Code & Codex Use Claude Code or Codex from anywhere with end-to-end encryption. 📱 iOS App • 🤖 Android App • 🌐 Web App • 🎥 See a Demo • 📚 Documentation • 💬 Discord Step 1: Download App Step 2: Install CLI on your computer Run From Source (Repo Checkout) bash from repository
| Stars | 24,002 |
| Forks | 2,051 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.6966937498987/100 |
| Open Issues | 1063 |
| Last Updated | 2026-10-04 |
| Created | 2025-07-18 |
| Platforms | browser, claude-code, cli, codex, node |
| Est. Tokens | ~15k |
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happy is Mobile and Web client for Codex and Claude Code, with realtime voice, encryption and fully featured. It is categorized as a Codex Skill with 24.0k GitHub stars.
happy is primarily written in TypeScript. It covers topics such as claude-code, claude-desktop, claude-mobile.
You can find installation instructions and usage details in the happy GitHub repository at github.com/slopus/happy. The project has 24.0k stars and 2051 forks, indicating an active community.
happy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to happy on Agent Skills Hub include context-mode, awesome-claude-skills, humanizer. 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: