by 0xMassi · Codex Skill · ★ 105
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
One command to run the AI coding CLI you already pay for (Claude Code, Codex, Cursor, Gemini, Grok, aider) on a Tailscale-only Hetzner box — code from your phone.
| Stars | 105 |
| Forks | 6 |
| Language | Go |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 53.6803446894209/100 |
| Last Updated | 2026-06-30 |
| Created | 2026-06-29 |
| Platforms | claude-code, cli, codex, gemini, go |
| Est. Tokens | ~7k |
These tools work well together with pocketdev for enhanced workflows:
Looking for a pocketdev alternative? If you're comparing pocketdev with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Paste images into remote Claude Code & Codex CLI over SSH — clipboard bridging for macOS and Windows.
Process manager for AI agents (and humans)
Ultra-fast token & cost tracker for LLM Token Usage (e.g. Claude Code)
Secure clipboard sharing over SSH for remote work and agentic coding tools.
Access your terminal and your AI agent from any device — phone, tablet, desktop.
Build big projects with Claude. Chief breaks your work into tasks and runs Claude Code in a loop until they're
Explore other popular codex skill tools:
pocketdev is One command to run the AI coding CLI you already pay for (Claude Code, Codex, Cursor, Gemini, Grok, aider) on a Tailscale-only Hetzner box — code from your phone.. It is categorized as a Codex Skill with 105 GitHub stars.
pocketdev is primarily written in Go. It covers topics such as ai-coding, bubbletea, claude-code.
You can find installation instructions and usage details in the pocketdev GitHub repository at github.com/0xMassi/pocketdev. The project has 105 stars and 6 forks, indicating an active community.
pocketdev is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to pocketdev on Agent Skills Hub include cc-clip, gob, toktrack. 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: