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 sijiaoh · Claude Skill · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pockode safe to install? View the security audit →
Pockode Your dev machine in your pocket. Pockode connects your phone to your home dev machine running Claude Code. Chat with AI, browse files, review diffs, and manage worktrees — from anywhere. Why Pockode? Your powerful dev machine sits at home. With Pockode, you can use it from anywhere. Commute coding — Fix bugs on the train using your home workstation Quick hotfixes — Push a fix from your couch, no laptop needed Code review — Review diffs while waiting in line Stay in flow — Your ideas don't wait for you to get home Features | Session Ma
| Stars | 55 |
| Forks | 7 |
| Language | Go |
| Category | Claude Skill |
| Quality Score | 65.965390309326/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-21 |
| Created | 2025-12-20 |
| Platforms | claude-code, codex, go |
| Est. Tokens | ~15k |
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pockode is Mobile interface for Claude Code and Codex — control your local AI coding agent from anywhere. It is categorized as a Claude Skill with 55 GitHub stars.
pockode is primarily written in Go. It covers topics such as claude, claude-code, codex.
You can find installation instructions and usage details in the pockode GitHub repository at github.com/sijiaoh/pockode. The project has 55 stars and 7 forks, indicating an active community.
The top alternatives to pockode on Agent Skills Hub include ask-user-questions-mcp, claudex, claude-historian-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: