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fengzie

Mobazha Product Image Prompt

by fengzie · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
104
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install mobazha-product-image-prompt
Description
Craft effective AI image generation prompts for product photography, store branding, and marketing visuals. Use when you need product images, lifestyle shots...
Usage Guidance
This skill is an instruction-only prompt guide and appears coherent and low-risk. Before installing, note: (1) it does not itself call image APIs or store credentials — if you later combine these prompts with an agent that has API keys, those external calls will use whatever keys the agent has; (2) avoid embedding private or sensitive data in prompts because third-party image services may retain prompts; (3) the guide explicitly advises against using recognizable brand logos — follow that to avoid IP/trademark issues. Proceed if you only need prompt-writing help; if a future version adds an install script or requests API keys, re-evaluate then.
Capability Analysis
Type: OpenClaw Skill Name: mobazha-product-image-prompt Version: 0.1.0 The skill bundle consists of a metadata file and a documentation-only markdown file (SKILL.md) providing instructions for generating AI image prompts for product photography. There is no executable code, no network activity, and no evidence of prompt injection or malicious intent. The content is entirely focused on assisting users with e-commerce branding and product visuals.
Capability Tags
cryptorequires-walletrequires-sensitive-credentials
Capability Assessment
Purpose & Capability
The name and description match the SKILL.md content: a prompt-writing guide for AI image generation. There are no unexpected credentials, binaries, or platform ties declared that would be unrelated to prompt crafting.
Instruction Scope
The SKILL.md contains only guidance and example prompt templates for product photography; it does not instruct reading files, accessing environment variables, calling external arbitrary endpoints, or performing system operations outside the stated purpose.
Install Mechanism
No install spec and no code files are present (instruction-only). That minimizes on-disk risk and matches the skill's described function.
Credentials
The skill requests no environment variables, credentials, or config paths. This is proportionate for a prompt-writing guide which does not need access to APIs or secrets.
Persistence & Privilege
always is false and the skill is user-invocable (normal defaults). The skill does not request persistent system-level privileges or modify other skills/configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mobazha-product-image-prompt
  3. After installation, invoke the skill by name or use /mobazha-product-image-prompt
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release
Metadata
Slug mobazha-product-image-prompt
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Mobazha Product Image Prompt?

Craft effective AI image generation prompts for product photography, store branding, and marketing visuals. Use when you need product images, lifestyle shots... It is an AI Agent Skill for Claude Code / OpenClaw, with 104 downloads so far.

How do I install Mobazha Product Image Prompt?

Run "/install mobazha-product-image-prompt" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Mobazha Product Image Prompt free?

Yes, Mobazha Product Image Prompt is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Mobazha Product Image Prompt support?

Mobazha Product Image Prompt is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Mobazha Product Image Prompt?

It is built and maintained by fengzie (@fengzie); the current version is v0.1.0.

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