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Wsl2 Local Ai
作者
Twin Geeks
· GitHub ↗
· v1.0.0
· MIT-0
117
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install wsl2-local-ai
功能描述
WSL2 Local AI — run LLMs on Windows via WSL2 with NVIDIA GPU passthrough. WSL2 AI development with Ollama, CUDA, and Docker. WSL2 Ollama fleet routing for Wi...
安全使用建议
This skill appears to do what it says (set up Ollama + herd in WSL2). Before installing: (1) Inspect any remote install script before running 'curl | sh' (it executes code as you). (2) Expect to pull Docker images and run background services listening on localhost — ensure you trust the sources (ollama.ai, Docker Hub) and that you have the appropriate GPU drivers. (3) The metadata lists python/pip/nvidia-smi/wsl but not docker; if you plan to use the Docker example, install Docker Desktop. (4) Running herd will create ~/.fleet-manager state files — review and back up if needed. If you want lower risk, run these steps in a disposable WSL2 instance or VM and review the referenced GitHub repo and install script first.
能力评估
Purpose & Capability
Name/description (WSL2, Ollama, CUDA, Docker, herd routing) matches the instructions: enabling WSL2, verifying nvidia-smi, installing Ollama, pip-installing ollama-herd, and running herd/herd-node. Optional bins (python3, pip, nvidia-smi, wsl) are relevant. One small omission: the README shows docker usage but 'docker' is not listed in the metadata optional bins.
Instruction Scope
SKILL.md confines actions to installing/starting Ollama and herd, adding environment vars to ~/.bashrc, and querying local endpoints (localhost:11435). It does not instruct reading unrelated host files or exfiltrating secrets. It does recommend running remote install scripts (curl | sh) and pulling docker images — expected for this purpose but higher-risk operations.
Install Mechanism
This is instruction-only (no install spec). Install steps include piping a remote installer (https://ollama.ai/install.sh) to sh, pip install, and docker run. These are plausible for installing Ollama but are higher-risk patterns than purely local installs; the sources referenced (ollama.ai and Docker Hub image ollama/ollama) are consistent with the stated toolchain.
Credentials
No required environment variables or credentials are requested. The skill suggests OLLAMA_* env vars for runtime tuning (local-only) and uses a local API endpoint with no API key needed; this is proportionate to the task.
Persistence & Privilege
always is false and the skill does not request elevated platform privileges. It instructs persisting env vars to ~/.bashrc and creating/using ~/.fleet-manager state files — reasonable for a long-running local service. The skill runs local servers and background processes (herd), which is expected for this functionality.
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 wsl2-local-ai - 安装完成后，直接呼叫该 Skill 的名称或使用
/wsl2-local-ai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 WSL2 Local AI, enabling full-stack local LLM development for Windows users via WSL2 and NVIDIA GPUs.
- Run LLMs on Windows through WSL2 with native GPU passthrough for near-Linux performance.
- Integrated Ollama Herd for routing AI requests across WSL2 and Windows environments.
- Step-by-step setup including Ollama, CUDA, Docker, and Ollama Herd node registration.
- Out-of-the-box support for popular LLMs, AI image generation, and embeddings.
- Clear guidance for Windows developers to use local AI endpoints from VS Code, Python, curl, and Docker.
- Safety guardrails: all model downloads and deletions require user confirmation; no automatic model pulls.
元数据
常见问题
Wsl2 Local Ai 是什么？
WSL2 Local AI — run LLMs on Windows via WSL2 with NVIDIA GPU passthrough. WSL2 AI development with Ollama, CUDA, and Docker. WSL2 Ollama fleet routing for Wi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 117 次。
如何安装 Wsl2 Local Ai？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wsl2-local-ai」即可一键安装，无需额外配置。
Wsl2 Local Ai 是免费的吗？
是的，Wsl2 Local Ai 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Wsl2 Local Ai 支持哪些平台？
Wsl2 Local Ai 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（windows）。
谁开发了 Wsl2 Local Ai？
由 Twin Geeks（@twinsgeeks）开发并维护，当前版本 v1.0.0。
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