by TunMax · Codex Skill · ★ 158
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 158 |
| Forks | 32 |
| Language | Dockerfile |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 61/100 |
| Last Updated | 2026-10-12 |
| Created | 2026-03-05 |
| Platforms | docker |
| Est. Tokens | ~12k |
openclawcomputer 一个预装 OpenClaw 并具有桌面环境的 Linux 容器，适配 ModelScope、HuggingFace 等免费容器部署服务，通过浏览器即可在安全的隔离环境下玩转 OpenClaw 通过本项目，你将获得： 💻 一台硬件配置至少为2核/16GB内存的 Linux 云电脑（在 ModelScope/HuggingFace 开源社区部署时） ✨ 具有类 Windows 桌面的系统操作环境，预装 Chrome 浏览器 / 中文拼音输入法，轻松易上手 🚀 开箱即用的 OpenClaw，默认配置 ModelScope 免费模型推理后端，提供密钥即可畅玩 🧪 在安全的隔离环境中尽情体验 OpenClaw 🔄 OpenClaw 配置文件自动备份/恢复 运行容器（ModelScope/HuggingFace Spaces） 在 Spaces...
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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: