← Back to Skills Marketplace
MiniMax Vision Analysis
by
daidai8910g
· GitHub ↗
· v1.0.0
· MIT-0
308
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install minimax-vision-analysis
Description
Analyze, describe, and extract information from images using the MiniMax vision MCP tool. Use when: user shares an image file path or URL (any message contai...
Usage Guidance
This skill appears to be a wrapper for a paid MiniMax image-analysis tool and the SKILL.md instructs how to configure an MCP with MINIMAX_API_KEY and MINIMAX_API_HOST. Before installing: (1) confirm you actually have a MiniMax Token Plan and are willing to provide the MINIMAX_API_KEY to the agent, (2) ask the publisher to add the required env vars to the registry metadata (currently none are declared), (3) be aware the skill auto-triggers on many image-related keywords and extensions — if you don’t want automatic analysis, avoid enabling or request a less-broad trigger, (4) note that MCP configuration can grant local file access to images, so only proceed if you trust the source and understand where image data will be sent, and (5) if you cannot verify the MiniMax service URL or publisher, do not install. If you want me to, I can draft a short checklist or a safer SKILL.md change request to send to the skill author (e.g., declare required env vars, narrow triggers, and clarify what environment detection does).
Capability Analysis
Type: OpenClaw Skill
Name: minimax-vision-analysis
Version: 1.0.0
The skill bundle provides instructions for an AI agent to perform image analysis using the MiniMax vision MCP tool. It includes legitimate setup procedures for various environments (OpenCode, Claude Code, Cursor) and references the 'minimax-coding-plan-mcp' package. The instructions and workflow are consistent with the stated purpose, and external links point to official documentation at platform.minimaxi.com.
Capability Assessment
Purpose & Capability
The skill claims to call a MiniMax MCP tool for image analysis and the SKILL.md provides mode-specific prompts and configuration instructions consistent with that purpose. However, the runtime instructions require a MiniMax Token Plan and MINIMAX_API_KEY / MINIMAX_API_HOST, but the registry metadata lists no required environment variables or primary credential — this is an inconsistency between claimed requirements and declared metadata.
Instruction Scope
The SKILL.md instructs the agent to auto-trigger on any message with various image file extensions or many image-related keywords, which is broad and may cause unexpected or unwanted invocations. It also tells the agent to "detect the user's environment" and emit exact MCP setup commands for different platforms — the detection step is vague and could lead to reading environment/system details if implemented, but the file does not explicitly constrain what may be read.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing will be written or downloaded during install. That lowers the attack surface; the SKILL.md points to an external docs URL for guidance but does not cause arbitrary code execution by itself.
Credentials
The instructions clearly require MINIMAX_API_KEY and MINIMAX_API_HOST and state a paid Token Plan is required, yet the skill registry lists no required environment variables or primary credential. Requesting a service API key for a vision tool is reasonable, but the omission in metadata is a mismatch that could hide credential requirements. The skill also mentions local file access via MCP if configured — users should be aware this enables reading local image files when set up.
Persistence & Privilege
The skill does not request permanent/always-on status, does not modify other skills' configs, and has no install-time hooks. Autonomous invocation is allowed by platform default (disable-model-invocation: false) but that is normal; nothing in the skill requests elevated persistence privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install minimax-vision-analysis - After installation, invoke the skill by name or use
/minimax-vision-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of vision-analysis skill.
- Enables image analysis via the MiniMax_understand_image MCP tool for general description, OCR, UI review, chart data extraction, and object detection modes.
- Automatically triggers on image file uploads/links or relevant analysis requests.
- Includes guidance for MiniMax MCP setup across OpenCode, Cursor, and Claude Code environments.
- Provides mode-specific prompt strategies and structured output formats for clear results.
- Supports common image formats and local file paths (with appropriate MCP configuration).
Metadata
Frequently Asked Questions
What is MiniMax Vision Analysis?
Analyze, describe, and extract information from images using the MiniMax vision MCP tool. Use when: user shares an image file path or URL (any message contai... It is an AI Agent Skill for Claude Code / OpenClaw, with 308 downloads so far.
How do I install MiniMax Vision Analysis?
Run "/install minimax-vision-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is MiniMax Vision Analysis free?
Yes, MiniMax Vision Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does MiniMax Vision Analysis support?
MiniMax Vision Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created MiniMax Vision Analysis?
It is built and maintained by daidai8910g (@daidai8910g); the current version is v1.0.0.
More Skills