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 GreenSheep01201 · Codex Skill · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claw-empire safe to install? View the security audit →
Claw-Empire Command Your AI Agent Empire from the CEO Desk A local-first AI agent office simulator that orchestrates CLI, OAuth, and API-connected providers (including Claude Code, Codex CLI, Gemini CLI, OpenCode, Kimi Code, GitHub Copilot, and Antigravity) as a virtual company of autonomous agents. Quick Start · AI Install Guide · Release Notes
| Stars | 1,344 |
| Forks | 266 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 68.1114607236816/100 |
| Open Issues | 5 |
| Last Updated | 2026-03-16 |
| Created | 2026-02-18 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~2590k |
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claw-empire is Command Your AI Agent Empire from the CEO Desk — A local-first AI agent office simulator that orchestrates CLI, OAuth, and API-connected agents (Claude Code, Codex CLI, Gemini CLI, OpenCode, and more). It is categorized as a Codex Skill with 1.3k GitHub stars.
claw-empire is primarily written in TypeScript. It covers topics such as agentic-workflow, agents, ochestration.
You can find installation instructions and usage details in the claw-empire GitHub repository at github.com/GreenSheep01201/claw-empire. The project has 1.3k stars and 266 forks, indicating an active community.
claw-empire is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to claw-empire on Agent Skills Hub include opengoat, powermem, openclaw-a2a-gateway. 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: