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在 OpenClaw 中安装
/install openra-rl
功能描述
Play Command & Conquer Red Alert RTS — build bases, train armies, and defeat AI opponents using 48 MCP tools.
安全使用建议
Before installing: (1) Confirm the package source — check the referenced GitHub repo (https://github.com/yxc20089/OpenRA-RL) and the distribution method (is the package on PyPI, or a custom 'uv' repo?). (2) Verify what Docker image will be pulled and its registry; inspect the Dockerfile or image contents if possible. (3) Avoid exposing your Docker socket or mounting sensitive host paths when running the server; run initially in an isolated user or VM. (4) Resolve the install mismatch (pip vs 'uv') — ask the author or check the project README, and prefer installing from a verifiable source. (5) If you’re not comfortable auditing the package and image, run the skill only in a disposable environment (container/VM) to limit risk.
功能分析
Type: OpenClaw Skill
Name: openra-rl
Version: 1.1.0
The skill bundle is classified as suspicious due to its reliance on and instruction to execute external binaries and Docker images. Specifically, `SKILL.md` instructs the agent to `pip install openra-rl` and then run `openra-rl server start`, which 'pulls the Docker image and starts the game server'. While this is the stated purpose of the skill, it introduces a significant supply chain risk, as the `openra-rl` package or its associated Docker image could be compromised, leading to arbitrary code execution or host compromise via Docker. This represents a powerful and risky capability, even without explicit malicious intent within the skill bundle itself.
能力评估
Purpose & Capability
The name/description (play Red Alert via MCP tools) matches the declared requirements (docker). However SKILL.md's Quick Start recommends `pip install openra-rl` while the registry install spec lists an 'uv' package that creates an `openra-rl` binary — this mismatch is unexplained and should be clarified.
Instruction Scope
Runtime instructions are scoped to running a Docker-hosted game server, adding an MCP entry to ~/.openclaw/openclaw.json, and using MCP observation/control tools. The instructions do not ask for unrelated files or credentials. They do instruct running container images and binding to port 8000 (expected for a server).
Install Mechanism
No code files were provided and the registry lists an 'uv' install (package: openra-rl) that creates a binary, but SKILL.md tells users to `pip install openra-rl`. The install mechanism/source is therefore ambiguous. 'uv' is not a well-known public installer in this context — verify where the package comes from and whether the Docker image it pulls is from a trusted registry.
Credentials
The skill requests no environment variables or credentials, which is proportionate. However it requires the docker binary: controlling Docker (or being able to start containers) implies access to the Docker daemon which can be a powerful privilege — confirm how containers are started (does the tool mount host paths or the docker socket?) before trusting it.
Persistence & Privilege
always is false and the skill does not request persistent/automatic inclusion. The only persistent action it asks the user to perform is editing the OpenClaw config (~/.openclaw/openclaw.json) to register the MCP server — this is expected for an integration.
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 openra-rl - 安装完成后,直接呼叫该 Skill 的名称或使用
/openra-rl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
v1.1.0
Comprehensive rewrite: full tool reference, strategy guide, build orders, installation instructions, and gameplay tips for AI agents
v1.0.0
Initial release — play Red Alert via MCP tools
元数据
常见问题
OpenRA-RL 是什么?
Play Command & Conquer Red Alert RTS — build bases, train armies, and defeat AI opponents using 48 MCP tools. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 662 次。
如何安装 OpenRA-RL?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openra-rl」即可一键安装,无需额外配置。
OpenRA-RL 是免费的吗?
是的,OpenRA-RL 完全免费(开源免费),可自由下载、安装和使用。
OpenRA-RL 支持哪些平台?
OpenRA-RL 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(macos, linux)。
谁开发了 OpenRA-RL?
由 Chuang(@yxc20089)开发并维护,当前版本 v1.1.0。
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