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Ollama on Windows — Setup, CORS Fix & Custom Models
作者
Shadow Rose
· GitHub ↗
· v1.0.1
· MIT-0
282
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install ollama-windows-guide
功能描述
Complete Windows setup guide for Ollama: installation, CORS header fix for web apps, custom model creation with Modelfiles, and integration with desktop AI t...
安全使用建议
This guide appears to do what it says: help you install Ollama on Windows, enable CORS for web apps, and create local models. Before following it: (1) download Ollama only from the official site and verify installer integrity if possible; (2) avoid setting OLLAMA_ORIGINS='*' in production—use a restricted origin list or set the variable temporarily while testing to reduce exposure; (3) do not expose your Ollama server to the public internet or untrusted networks without proper access controls and firewall rules; (4) review any .modelfile content before building to ensure it doesn't contain unexpected commands or external fetches; and (5) keep backups and be mindful of GPU/VRAM requirements. The skill is instruction-only (no code), so the security impact depends on whether you follow its advised system/environment changes.
功能分析
Type: OpenClaw Skill
Name: ollama-windows-guide
Version: 1.0.1
The skill bundle is a documentation-based guide for installing and configuring Ollama on Windows. It contains standard setup instructions, environment variable configurations for CORS, and examples for creating custom models via Modelfiles. No executable code, malicious instructions, or indicators of data exfiltration were found in SKILL.md or README.md.
能力评估
Purpose & Capability
Name/description (Ollama setup, CORS fix, Modelfiles) align with the instructions: downloading Ollama, running 'ollama serve', setting OLLAMA_ORIGINS, creating .modelfile and building/running models. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md stays within setup and model-creation tasks. It instructs setting an environment variable (OLLAMA_ORIGINS) to '*' for CORS — this is expected for the stated web-use case but grants broad cross-origin access and should be treated as a security tradeoff rather than an innocuous default. It also suggests checking GPU via nvidia-smi, which is appropriate for model sizing.
Install Mechanism
No install spec or packaged code is included; this is instruction-only and does not write or execute new code on disk. The instructions point users to the official ollama.com download, which is appropriate.
Credentials
The skill declares no required env vars, but the guide recommends setting OLLAMA_ORIGINS='*'. That environment change is directly related to the CORS objective but is broad and can expose a local server to any web origin. No credentials or unrelated environment access is requested.
Persistence & Privilege
Skill is not always-enabled and has no autonomous privileged behavior. It does not request changes to other skills or system-wide agent config beyond normal user-managed environment variables.
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 ollama-windows-guide - 安装完成后，直接呼叫该 Skill 的名称或使用
/ollama-windows-guide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
v1.0.1
Initial public release
v1.0.0
Initial release
元数据
常见问题
Ollama on Windows — Setup, CORS Fix & Custom Models 是什么？
Complete Windows setup guide for Ollama: installation, CORS header fix for web apps, custom model creation with Modelfiles, and integration with desktop AI t... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 282 次。
如何安装 Ollama on Windows — Setup, CORS Fix & Custom Models？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ollama-windows-guide」即可一键安装，无需额外配置。
Ollama on Windows — Setup, CORS Fix & Custom Models 是免费的吗？
是的，Ollama on Windows — Setup, CORS Fix & Custom Models 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Ollama on Windows — Setup, CORS Fix & Custom Models 支持哪些平台？
Ollama on Windows — Setup, CORS Fix & Custom Models 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 Ollama on Windows — Setup, CORS Fix & Custom Models？
由 Shadow Rose（@theshadowrose）开发并维护，当前版本 v1.0.1。
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