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MFlux Skill for OpenClaw
by
Pankaj Jain
· GitHub ↗
· v0.1.0
384
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0
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1
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1
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Install in OpenClaw
/install mflux
Description
Local image generation using Apple MLX via mflux — FLUX.2 Klein 4B (fast, Apache 2.0) and Z-Image Turbo (quality) models
Usage Guidance
This skill appears coherent, but before installing: (1) verify the origin and integrity of the mflux package (PyPI project page or official repo) rather than blindly running installs; (2) confirm what 'uv' is and prefer a controlled environment (virtualenv) when using pip; (3) be prepared for large model downloads and ~8–32GB+ storage usage (models cached in ~/.cache/huggingface/hub/); (4) some models or LoRA files may be third‑party or require a Hugging Face token for private repos—only provide tokens if you trust the model source; (5) review licenses of models you plan to use (SKILL.md lists some as 'Custom'); and (6) avoid using LoRA/safetensors from untrusted sources. If you want higher assurance, ask the publisher for a source repository or official homepage and inspect the mflux project directly before installation.
Capability Analysis
Type: OpenClaw Skill
Name: mflux
Version: 0.1.0
The mflux skill bundle provides standard documentation and instructions for local image generation on Apple Silicon using the legitimate mflux library. The SKILL.md and README.md files contain helpful usage examples, installation steps via uv/pip, and parameter references without any evidence of malicious intent, data exfiltration, or prompt injection attacks.
Capability Assessment
Purpose & Capability
Name/description (local image generation on Apple Silicon) match the instructions: install mflux (pip/uv) and run mflux CLI or Python API. Required platform and RAM guidance are appropriate for the claimed capabilities.
Instruction Scope
SKILL.md stays on‑topic (installing and using mflux, model selection, quantization, LoRA, image-to-image workflows). It does implicitly require network access to download models and caches them in ~/.cache/huggingface/hub/ and may require a Hugging Face token for private models — this is expected but worth noting.
Install Mechanism
No install spec in the registry; SKILL.md recommends installing via uv (a third‑party tool) or pip. No direct downloads from unknown URLs or archive extraction are included in the skill files themselves.
Credentials
The skill declares no required environment variables or credentials. The instructions do not request secrets. A possible real‑world need for HF credentials (only for private Hugging Face models) is noted in the SKILL.md behavior and is proportionate to model downloads.
Persistence & Privilege
Skill does not request always:true, does not claim persistent elevated privileges, and is user‑invocable. It does instruct installing third‑party software (mflux) which will persist as any pip/uv install would.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mflux - After installation, invoke the skill by name or use
/mflux - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of mflux: local image generation on Apple Silicon with Apache 2.0 and high-quality models.
- Generate images locally using Apple MLX on Mac (M1 or later), no cloud/API keys needed
- Supports fast FLUX.2-klein-4B (default, Apache 2.0), FLUX.2-klein-9B, Z-Image-Turbo, and more
- Optional low-RAM mode via quantization (8-bit, 4-bit)
- Python API and CLI for image, img2img, LoRA, and editing workflows
- Automatic model downloading/caching, with RAM/speed/quality comparison tables for optimal use
Metadata
Frequently Asked Questions
What is MFlux Skill for OpenClaw?
Local image generation using Apple MLX via mflux — FLUX.2 Klein 4B (fast, Apache 2.0) and Z-Image Turbo (quality) models. It is an AI Agent Skill for Claude Code / OpenClaw, with 384 downloads so far.
How do I install MFlux Skill for OpenClaw?
Run "/install mflux" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is MFlux Skill for OpenClaw free?
Yes, MFlux Skill for OpenClaw is completely free (open-source). You can download, install and use it at no cost.
Which platforms does MFlux Skill for OpenClaw support?
MFlux Skill for OpenClaw is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created MFlux Skill for OpenClaw?
It is built and maintained by Pankaj Jain (@pjain); the current version is v0.1.0.
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