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 clawfleet · Codex Skill · ★ 164
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ClawFleet safe to install? View the security audit →
ClawFleet 🌐 Website: clawfleet.io · 💬 Community: Discord · 📝 Blog: Dev.to Run a fleet of AI agents on your laptop in 5 minutes — OpenClaw and Hermes in isolated containers, managed from one browser dashboard. Use your ChatGPT subscription, no cloud bills. 中文文档 Imagine buying N dedicated Mac Minis, each running its own AI agent — some OpenClaw, some Hermes, all collaborating in Discord. Your own AI company — data stays on your hardware, no SaaS subscription. ClawFleet makes that free. Each agent runs in its own Docker container with isolated filesystem and net
| Stars | 164 |
| Forks | 14 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.4653110876936/100 |
| Open Issues | 13 |
| Last Updated | 2026-04-27 |
| Created | 2026-03-07 |
| Platforms | browser, docker, go |
| Est. Tokens | ~543k |
These tools work well together with ClawFleet for enhanced workflows:
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ClawFleet is Deploy a fleet of AI agents (OpenClaw, Hermes) on your machine in 10 minutes — use your ChatGPT subscription, no cloud bills. Open-source fleet manager with browser dashboard.. It is categorized as a Codex Skill with 164 GitHub stars.
ClawFleet is primarily written in Go. It covers topics such as agent-runtime, ai, ai-agents.
You can find installation instructions and usage details in the ClawFleet GitHub repository at github.com/clawfleet/ClawFleet. The project has 164 stars and 14 forks, indicating an active community.
ClawFleet is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ClawFleet on Agent Skills Hub include openclaw.net, yantr, ENZO. 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: