openclaw-termux-zh: 本项目是基于mithun50维护的上游仓库(openclaw-termux)整合汉化而来并二次开发添加优化的 OpenClaw Android 中文版本

by JunWan666 · Codex Skill · ★ 206

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

How to install openclaw-termux-zh

git clone https://github.com/JunWan666/openclaw-termux-zh.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 62/100

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. Full audit →

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.

aiandroidgatewayopenclawtermux

Quick Facts

Stars206
Forks26
LanguageDart
CategoryCodex Skill
LicenseMIT
Quality Score62/100
Open Issues13
Last Updated2026-09-01
Created2026-03-10
Est. Tokens~17k

About openclaw-termux-zh

OpenClaw 中文整合版 简体中文 | English 面向中文用户维护与分发的 OpenClaw Android 独立整合版本 内置 Ubuntu RootFS、Node.js、OpenClaw 安装与管理能力，重点优化中文文档、移动端配置体验与 Android 原生集成；大体积运行时资源改为安装时下载或手动导入。

Compatible Skills

These tools work well together with openclaw-termux-zh for enhanced workflows:

  • claude-code-android — semantic(0.52)+complementary+rare_topics+similar_pop (57%)
  • openclaw-termux — semantic(0.68)+rare_topics+same_lang (52%)
  • Android-MCP — semantic(0.35)+complementary+rare_topics+similar_pop (52%)
  • codexUI — semantic(0.61)+rare_topics+similar_pop (45%)

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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:

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