cc-pocket: Drive Claude Code or OpenAI Codex from your phone — resume sessions, stream output, approve tool permissions

by heypandax · Codex Skill · ★ 117

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install cc-pocket

brew install --cask heypandax/tap/cc-pocket

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentai-coding-assistantandroidanthropicclaudeclaude-codeclicodexcoding-agentcompose-multiplatform

Quick Facts

Stars117
Forks23
LanguageKotlin
CategoryCodex Skill
LicenseMIT
Quality Score71/100
Open Issues20
Last Updated2026-09-09
Created2026-06-08
Platformsclaude-code, cli, codex
Est. Tokens~18k

About cc-pocket

CC Pocket English | 简体中文 Drive Claude Code — or OpenAI Codex — on your computer from your phone, from anywhere, not just your LAN. Start/resume sessions, browse working directories, send prompts, and approve or deny the agent's tool-permission requests remotely.

Compatible Skills

These tools work well together with cc-pocket for enhanced workflows:

  • compose-ai-tools — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)

cc-pocket alternative? Top 6 similar tools

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse Codex Skill tools