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minimax-vision-analysis最小最大视觉分析

Agent Skill

minimax-vision-analysis 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

9,709

周安装

389

GitHub Stars

公开资料未说明

下载量

3,143
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:minimax-vision-analysis(最小最大视觉分析)
来源仓库:https://github.com/daidai8910g/minimax-vision-analysis
安装命令:
openclaw skills install minimax-vision-analysis
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install minimax-vision-analysis

简介

基于 MiniMax 视觉 MCP 工具分析图像信息,支持描述与提取关键视觉内容。

  • 适合处理截图、图片识别及素材整理任务,提升 Agent 的视觉理解能力。
  • 安装命令:openclaw skills install minimax-vision-analysis,来源仓库:https://github.com/daidai8910g/minimax-vision-analysis。
  • 使用时需提供图像路径或 URL,建议确认权限范围与维护状态后再部署。
  • 可能触发联网与文件读写操作,需评估安全风险并限制敏感数据访问。

SKILL.md

name
vision-analysis
description
>
Triggers
any message with an image file extension (jpg, jpeg, png, gif, webp, bmp, svg),
license
MIT
metadata
version
1.0
category
ai-vision
sources

Vision Analysis

Analyze images using the MiniMax MiniMax_understand_image MCP tool available in the MiniMax Token Plan.

Prerequisites

  • MiniMax Token Plan subscription with valid MINIMAX_API_KEY
  • MiniMax MCP configured (MiniMax_understand_image tool available)

If MCP tool is not configured

Step 1: The agent should fetch setup instructions from: https://platform.minimaxi.com/docs/token-plan/mcp-guide

Step 2: Detect the user's environment (OpenCode, Cursor, Claude Code, etc.) and output the exact commands needed. Common examples:

OpenCode — add to ~/.config/opencode/opencode.json or package.json:

{
  "mcp": {
    "MiniMax": {
      "type": "local",
      "command": ["uvx", "minimax-coding-plan-mcp", "-y"],
      "environment": {
        "MINIMAX_API_KEY": "YOUR_TOKEN_PLAN_KEY",
        "MINIMAX_API_HOST": "https://api.minimaxi.com"
      },
      "enabled": true
    }
  }
}

Claude Code:

claude mcp add -s user MiniMax --env MINIMAX_API_KEY=your-key --env MINIMAX_API_HOST=https://api.minimaxi.com -- uvx minimax-coding-plan-mcp -y

Cursor — add to MCP settings:

{
  "mcpServers": {
    "MiniMax": {
      "command": "uvx",
      "args": ["minimax-coding-plan-mcp"],
      "env": {
        "MINIMAX_API_KEY": "your-key",
        "MINIMAX_API_HOST": "https://api.minimaxi.com"
      }
    }
  }
}

Step 3: After configuration, tell the user to restart their app and verify with /mcp.

Important: If the user does not have a MiniMax Token Plan subscription, inform them that the understand_image tool requires one — it cannot be used with free or other tier API keys.

Analysis Modes

ModeWhen to usePrompt strategy
describeGeneral image understandingAsk for detailed description
ocrText extraction from screenshots, documentsAsk to extract all text verbatim
ui-reviewUI mockups, wireframes, design filesAsk for design critique with suggestions
chart-dataCharts, graphs, data visualizationsAsk to extract data points and trends
object-detectIdentify objects, people, activitiesAsk to list and locate all elements

Workflow

Step 1: Auto-detect image

The skill triggers automatically when a message contains an image file path or URL with extensions: .jpg, .jpeg, .png, .gif, .webp, .bmp, .svg

Extract the image path from the message.

Step 2: Select analysis mode and call MCP tool

Use the MiniMax_understand_image tool with a mode-specific prompt:

describe:

Provide a detailed description of this image. Include: main subject, setting/background,
colors/style, any text visible, notable objects, and overall composition.

ocr:

Extract all text visible in this image verbatim. Preserve structure and formatting
(headers, lists, columns). If no text is found, say so.

ui-review:

You are a UI/UX design reviewer. Analyze this interface mockup or design. Provide:
(1) Strengths — what works well, (2) Issues — usability or design problems,
(3) Specific, actionable suggestions for improvement. Be constructive and detailed.

chart-data:

Extract all data from this chart or graph. List: chart title, axis labels, all
data points/series with values if readable, and a brief summary of the trend.

object-detect:

List all distinct objects, people, and activities you can identify. For each,
describe what it is and its approximate location in the image.

Step 3: Present results

Return the analysis clearly. For describe, use readable prose. For ocr, preserve structure. For ui-review, use a structured critique format.

Output Format Example

For describe mode:

## Image Description

[Detailed description of the image contents...]

For ocr mode:

## Extracted Text

[Preserved text structure from the image]

For ui-review mode:

## UI Design Review

### Strengths
- ...

### Issues
- ...

### Suggestions
- ...

Notes

  • Images up to 20MB supported (JPEG, PNG, GIF, WebP)
  • Local file paths work if MiniMax MCP is configured with file access
  • The MiniMax_understand_image tool is provided by the minimax-coding-plan-mcp package

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

87.14%
按下载量换算2,739

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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