godmode: Personal AI OS for Entrepreneurs

by GodMode-Team · Codex Skill · ★ 55

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

How to install godmode

git clone https://github.com/GodMode-Team/godmode.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

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.

agent-orchestrationaiai-agentai-assistantllmmemoryopenclawpersonal-aitypescript

Quick Facts

Stars55
Forks18
LanguageTypeScript
CategoryCodex Skill
Quality Score72/100
Open Issues2
Last Updated2026-07-18
Created2026-03-26
Platformsnode
Est. Tokens~3145k

About godmode

⚡ GodMode Personal AI OS for Entrepreneurs — The Ultimate OpenClaw Setup Experience frictionless flow states in your daily workspace — your AI Ally wielding 5-layer memory, commanding your agent army across every tool in your stack. Self-evolving. Sovereign. Modular. We distilled the best open source has to offer.

Compatible Skills

These tools work well together with godmode for enhanced workflows:

  • TomoriBot — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (56%)
  • openclaw — semantic(0.42)+complementary+same_lang+shared_platform (55%)
  • OpenAEON — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)

godmode alternative? Top 6 similar tools

Looking for a godmode alternative? If you're comparing godmode 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.

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  • MoltBrain by nhevers · ⭐ 252

    Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatical

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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