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MiniMax Vision
作者
hongjiahao371-pixel
· GitHub ↗
· v1.0.0
· MIT-0
164
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install minimax-vision
功能描述
MiniMax 图片理解 MCP - 自动识别用户发送的图片
安全使用建议
This skill appears to do exactly what it says: call a locally installed mcporter MCP to analyze images dropped into ~/.openclaw/media/inbound. Before installing, confirm that the mcporter binary and the minimax MCP are from a trusted source (the skill simply executes that binary). Also remove or update the hardcoded '/Users/js/.local/bin' PATH modification in minimax_vision.py (it's a developer leftover and may not exist on your system). Finally, ensure the inbound media directory permissions are appropriate and that you trust any MCP service mcporter will contact.
功能分析
Type: OpenClaw Skill
Name: minimax-vision
Version: 1.0.0
The skill is designed for image recognition using the MiniMax MCP, but minimax_vision.py contains a hardcoded absolute path to a specific user's directory (/Users/js/.local/bin) within the environment PATH configuration. While likely a developer oversight, this is a security risk and a vulnerability that could lead to the execution of unintended binaries if the environment matches the hardcoded string.
能力评估
Purpose & Capability
Name/description (image understanding) match the runtime instructions and included Python script: both call 'mcporter call minimax.understand_image' on images in the inbound media directory. No unrelated credentials, binaries, or install steps are requested.
Instruction Scope
SKILL.md instructs the agent to detect images in ~/.openclaw/media/inbound and call mcporter; the Python file implements the same behavior. The instructions do not ask the agent to read unrelated files, exfiltrate data, or contact unexpected endpoints.
Install Mechanism
There is no install spec (instruction-only plus a small helper script), so nothing is downloaded or written at install time. This is low-risk and proportional for this functionality.
Credentials
The skill requires no secrets or extra environment variables. The only oddity is the helper script prepending a hardcoded path (/Users/js/.local/bin) to PATH before invoking mcporter — likely a developer leftover. It does not request or expose credentials, but the hardcoded path is platform- and user-specific and should be removed or made configurable.
Persistence & Privilege
The skill is not always-enabled and is user-invocable; it does not request persistent system privileges or attempt to modify other skills' configs. Autonomous invocation is allowed by platform default but is not set to 'always'.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install minimax-vision - 安装完成后，直接呼叫该 Skill 的名称或使用
/minimax-vision触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
MiniMax Vision skill initial release.
- Adds automatic image recognition using MiniMax MCP.
- Supports user-initiated image analysis with common image file types.
- Integrates with mcporter for backend processing.
- Returns analyzed results directly to the user upon image upload.
元数据
常见问题
MiniMax Vision 是什么？
MiniMax 图片理解 MCP - 自动识别用户发送的图片. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 164 次。
如何安装 MiniMax Vision？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install minimax-vision」即可一键安装，无需额外配置。
MiniMax Vision 是免费的吗？
是的，MiniMax Vision 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
MiniMax Vision 支持哪些平台？
MiniMax Vision 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 MiniMax Vision？
由 hongjiahao371-pixel（@hongjiahao371-pixel）开发并维护，当前版本 v1.0.0。
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