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在 OpenClaw 中安装
/install openclaw-quick-deploy
功能描述
Deploy OpenClaw quickly to VPS, Docker, or local with auto environment detection, dependency installation, config generation, and service startup in 5-7 minu...
安全使用建议
This skill appears to be a legitimate deployment helper but contains risky and sloppy elements you should verify before running anything. Do not run the curl | bash command blindly; instead fetch the script (curl -fsSL URL -o deploy.sh) and inspect it for unexpected behaviour (backdoors, data exfiltration, extra network calls). Confirm the Docker image name (the SKILL.md has a space — likely 'skylv/openclaw') and verify the image/author on Docker Hub. Note the deploy.sh has OS-detection but then uses apt-get unconditionally — it may fail or do the wrong thing on CentOS; run in a test VM or container first. Ensure you run installation commands with appropriate privileges (use sudo or run as root intentionally), and verify the npm package 'openclaw' is the official project before installing globally. If you have sensitive data on the host, prefer manual inspection or a controlled sandboxed environment rather than one‑line remote installs.
功能分析
Type: OpenClaw Skill
Name: openclaw-quick-deploy
Version: 1.0.0
The skill 'openclaw-quick-deploy' (SKILL.md) promotes high-risk deployment practices, specifically a 'curl | bash' execution pattern targeting a personal GitHub repository (SKY-lv/awesome-openclaw-skills) and the use of a non-official Docker image (skylv/openclaw). While the embedded 'deploy.sh' script logic appears functionally aligned with its stated purpose, the instruction for an AI agent to execute unverified remote payloads and pull third-party containers for system-level installation presents a significant security risk and a potential vector for supply chain compromise.
能力评估
Purpose & Capability
The name/description match the instructions: steps for deploying OpenClaw to VPS/Docker/local are present and use expected tools (git, npm, docker). Minor inconsistencies exist: SKILL.md metadata (slug/version/author) differs from registry metadata; a Docker image name contains a likely typo ('sky lv/openclaw' with a space) and some links point to third-party repos (SKY-lv). These differences are not evidence of malicious intent but do not fully align with tidy packaging.
Instruction Scope
Instructions include running a remote script via curl | bash (raw.githubusercontent.com) and commands that read/modify system paths (e.g., /etc/*, ~/.openclaw, /root/.openclaw). The deploy script's OS detection is inconsistent with later commands (it detects /etc/redhat-release for CentOS but then uses apt-get unconditionally), and the script assumes privilege level (runs apt-get and global npm installs) without using sudo. While these actions are within the general scope of a deploy helper, executing remote scripts and the privilege assumptions are risky and should be reviewed.
Install Mechanism
This is an instruction-only skill (no install spec), which limits direct disk writes from the skill bundle. However the recommended 'one-click' install is a curl https://raw.githubusercontent.com/... | bash pattern — running code fetched from a remote raw URL is high risk because it executes unverified code on the host. Pulling a Docker image is expected, but the image name in docs appears malformed; verify the correct image (likely skylv/openclaw).
Credentials
The skill declares no required environment variables or credentials, which is proportionate for a deploy helper. The runtime instructions do require network access and likely root privileges for package installation and service enablement; these are reasonable for a deploy workflow but users should be aware that the script will modify system packages, install global npm packages, and write configuration under home/root directories.
Persistence & Privilege
The skill does not request 'always' presence, does not modify other skills, and only suggests enabling the OpenClaw gateway service (system autostart) which is expected behavior for a deployment. Autonomous invocation is allowed by platform default but not in itself a concern here.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install openclaw-quick-deploy - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-quick-deploy触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of OpenClaw Quick Deploy.
- Enables one-click deployment of OpenClaw to VPS, Docker, or local environments in under 5 minutes.
- Automatically detects system environment and installs dependencies.
- Generates ready-to-use configurations for supported platforms: Ubuntu, Debian, CentOS, Docker, macOS, and Windows (WSL2).
- Provides troubleshooting steps and deployment scripts for smooth setup.
- Supports flexible triggers: "openclaw deploy", "install openclaw", "openclaw setup".
元数据
常见问题
Openclaw Quick Deploy 是什么？
Deploy OpenClaw quickly to VPS, Docker, or local with auto environment detection, dependency installation, config generation, and service startup in 5-7 minu... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 49 次。
如何安装 Openclaw Quick Deploy？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-quick-deploy」即可一键安装，无需额外配置。
Openclaw Quick Deploy 是免费的吗？
是的，Openclaw Quick Deploy 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Openclaw Quick Deploy 支持哪些平台？
Openclaw Quick Deploy 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Openclaw Quick Deploy？
由 SKY-lv（@sky-lv）开发并维护，当前版本 v1.0.0。
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