OmniBot: Your on-phone / mobile AI Agent / Claw, capable of operating terminals and performing a wide range of tasks

by omnimind-ai · Codex Skill · ★ 2.1k

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

How to install OmniBot

git clone https://github.com/omnimind-ai/OpenOmniBot.git

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

Security audit verdict: SAFE · quality 64/100

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.

agentaialpineandroidautomationbotclawcodexguilinux

Quick Facts

Stars2,084
Forks151
LanguageDart
CategoryCodex Skill
Quality Score64/100
Open Issues30
Last Updated2026-11-04
Created2026-03-18
Platformscodex
Est. Tokens~17k

About OmniBot

Your On-Device AI Assistant | Demo | Quick Start | Release | Issues | English | 简体中文 | Unlike tr

Compatible Skills

These tools work well together with OmniBot for enhanced workflows:

  • claw-orchestrator — semantic(0.21)+complementary+rare_topics+similar_pop+shared_platform (52%)
  • hope-agent — semantic(0.20)+complementary+rare_topics+similar_pop+shared_platform (52%)
  • mobileClaw — semantic(0.35)+complementary+similar_pop (47%)
  • android-agent — semantic(0.34)+complementary+similar_pop (47%)
  • ClawLink — semantic(0.21)+complementary+rare_topics+similar_pop (47%)

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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