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Phi Phi4
by
Twin Geeks
· GitHub ↗
· v1.0.1
· MIT-0
131
Downloads
2
Stars
2
Active Installs
2
Versions
Install in OpenClaw
/install phi-phi4
Description
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...
Usage Guidance
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install phi-phi4 - After installation, invoke the skill by name or use
/phi-phi4 - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Phi Phi4?
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... It is an AI Agent Skill for Claude Code / OpenClaw, with 131 downloads so far.
How do I install Phi Phi4?
Run "/install phi-phi4" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Phi Phi4 free?
Yes, Phi Phi4 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Phi Phi4 support?
Phi Phi4 is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, windows).
Who created Phi Phi4?
It is built and maintained by Twin Geeks (@twinsgeeks); the current version is v1.0.1.
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