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Phi Phi4
作者
Twin Geeks
· GitHub ↗
· v1.0.1
· MIT-0
131
总下载
2
收藏
2
当前安装
2
版本数
在 OpenClaw 中安装
/install phi-phi4
功能描述
Phi 4 by Microsoft — small but powerful LLMs that run on minimal hardware. Phi-4 (14B), Phi-4-mini (3.8B), and Phi-3.5 across your device fleet. Perfect for...
安全使用建议
This skill appears to do what it says (run a local herd/router for Phi models), but before installing or running anything: 1) verify the PyPI package 'ollama-herd' and the GitHub repo owners are legitimate and inspect the package source if possible, 2) install in an isolated environment (virtualenv/container) and check what files it writes, 3) confirm the router binds to localhost (not 0.0.0.0) or protect the port with firewall rules, 4) be aware models will consume GBs of disk/RAM even if downloads require confirmation, and 5) review model licensing and privacy implications for any data routed through the fleet.
能力评估
Purpose & Capability
Name/description, required binaries (curl|wget, optional python/pip), and referenced config paths (~/.fleet-manager/...) align with a local fleet/router tool (ollama-herd). The assets and commands shown (pip install ollama-herd, herd, herd-node, curl to localhost:11435) are coherent with the described purpose.
Instruction Scope
SKILL.md instructs the agent/user to install/run a local router and to use curl/python to call localhost:11435; examples only target local endpoints and reference the fleet config directory. This stays within scope, but running the router is a network service — you should verify it binds only to localhost and does not expose ports to external networks.
Install Mechanism
The skill is instruction-only (no automated install spec). It tells the user to pip install 'ollama-herd' from PyPI, which is a reasonable delivery for this purpose but does involve downloading third-party code at install time; users should verify the package origin and integrity before installing.
Credentials
No environment variables, credentials, or unrelated config paths are requested. The listed config paths (~/.fleet-manager/...) are reasonable for a fleet manager and are explicitly referenced in the metadata and instructions.
Persistence & Privilege
The skill does not request always:true or elevated/ongoing system privileges; it only documents running a local service and does not instruct modifying other skills or system-wide agent settings.
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 phi-phi4 - 安装完成后，直接呼叫该 Skill 的名称或使用
/phi-phi4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
Cross-platform support: macOS, Linux, and Windows. Updated OS metadata, descriptions, and hardware recommendations.
v1.0.0
Initial release of Phi small LLM fleet skill.
- Supports running Phi-4 (14B), Phi-4-mini (3.8B), and Phi-3.5 models across device fleets.
- Optimized for minimal hardware—perfect for Mac Mini, MacBook Air, and low-RAM devices.
- OpenAI-compatible API, fast startup, and minimal model download size.
- Includes commands for quick setup, health monitoring, and model recommendations.
- Model downloads and deletions require explicit user confirmation for safety.
元数据
常见问题
Phi Phi4 是什么？
Phi 4 by Microsoft — small but powerful LLMs that run on minimal hardware. Phi-4 (14B), Phi-4-mini (3.8B), and Phi-3.5 across your device fleet. Perfect for... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 131 次。
如何安装 Phi Phi4？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install phi-phi4」即可一键安装，无需额外配置。
Phi Phi4 是免费的吗？
是的，Phi Phi4 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Phi Phi4 支持哪些平台？
Phi Phi4 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux, windows）。
谁开发了 Phi Phi4？
由 Twin Geeks（@twinsgeeks）开发并维护，当前版本 v1.0.1。
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