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 tuanminhhole · Codex Skill · ★ 212
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openclaw-setup safe to install? View the security audit →
🦞 OpenClaw Setup One Web UI to scaffold, deploy & run free multi-bot AI assistants — zero terminal required Run one command → open the dashboard → your bot is live. Windows · macOS · Linux · VPS, on Docker or native. Tiếng Việt · English 💡 Open-source & free. A management dashboard that automates 100% of project scaffolding, deployment, and control for AI bots on Telegram · Zalo · Facebook Messenger (Discord & Lark soon) — set up in minutes, no coding needed.
| Stars | 212 |
| Forks | 78 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 61.6889246637748/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-25 |
| Created | 2026-03-16 |
| Platforms | docker, gemini, node |
| Est. Tokens | ~16k |
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openclaw-setup is Setup AI Telegram Bot miễn phí bằng OpenClaw + Google Gemini + Docker. It is categorized as a Codex Skill with 212 GitHub stars.
openclaw-setup is primarily written in JavaScript. It covers topics such as 9router, ai-bot, automation.
You can find installation instructions and usage details in the openclaw-setup GitHub repository at github.com/tuanminhhole/openclaw-setup. The project has 212 stars and 78 forks, indicating an active community.
openclaw-setup is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openclaw-setup on Agent Skills Hub include awesome-openclaw, ciana-parrot, openclaw-plugin-wecom. 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: