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thincher

minimax-understand-image

by 要啥自行车 · GitHub ↗ · v1.0.3
cross-platform ⚠ suspicious
8050
Downloads
6
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install minimax-understand-image
Description
使用 MiniMax MCP 进行图像理解和分析。触发条件:(1) 用户要求分析图片、理解图像、描述图片内容 (2) 需要识别图片中的物体、文字、场景 (3) 使用 MiniMax 的 understand_image 功能
Usage Guidance
Install only after reviewing the setup commands and trusting the MiniMax MCP package source. Prefer installing uv through a trusted package manager, pinning the MCP package version, avoiding mirror-based installs unless approved, and limiting what environment variables are passed to the subprocess. Treat submitted images and prompts as data sent to a third-party service, and avoid using this skill on sensitive screenshots, documents, or photos unless that is acceptable.
Capability Analysis
Type: OpenClaw Skill Name: minimax-understand-image Version: 1.0.3 The skill is classified as suspicious primarily due to the `SKILL.md` instructions. It directs the agent to execute `curl -LsSf https://astral.sh/uv/install.sh | sh` for dependency installation, which is a significant supply chain vulnerability as it executes an arbitrary script from the internet without prior inspection. Additionally, `SKILL.md` instructs the agent to read `~/.openclaw/agents/main/agent/auth-profiles.json` to find API keys, which, while intended for a legitimate purpose, could expose sensitive data if the agent is maliciously prompted to misuse this capability. The `understand_image.py` script itself appears to handle inputs and API keys securely via JSON-RPC, but the installation and configuration steps in `SKILL.md` introduce notable risks.
Capability Assessment
⚠ Credentials
scripts/understand_image.py starts a third-party MCP subprocess and passes the full parent environment plus the MiniMax API key, which is broader access than needed for image analysis.
⚠ Install Mechanism
The skill recommends curl-to-shell installation for uv and installs or invokes minimax-coding-plan-mcp through uvx without a pinned version or checksum, creating mutable supply-chain execution risk.
⚠ Instruction Scope
The instructions broadly trigger on image analysis requests and include setup, credential discovery, credential storage, dependency installation, and remote service invocation without clear permission boundaries or a clear privacy warning before images and prompts are sent externally.
⚠ Persistence & Privilege
The skill stores the API key persistently in ~/.openclaw/config/minimax.json and looks for MiniMax credentials in an auth profile file. It does not show backdoor persistence or privilege escalation, but credential handling is sensitive and under-scoped.
ℹ Purpose & Capability
The stated purpose is MiniMax image understanding, and the script does call a MiniMax MCP image-analysis tool with an image source and prompt. External API use, local image paths or URLs, and a MiniMax API key are coherent with that purpose.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install minimax-understand-image
  3. After installation, invoke the skill by name or use /minimax-understand-image
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
minimax-understand-image 1.0.3 - 流程优化:首次配置流程更为简洁,后续可直接调用图像分析功能。 - API Key 自动获取逻辑修改:默认从 ~/.openclaw/agents/main/agent/auth-profiles.json 查找,而非此前的路径。 - 清理文档内容,去除冗余完整流程示例,提升可读性。 - 步骤描述更明确,帮助用户更快完成配置和调用。
v1.0.2
- 补充了如未购买 MiniMax 时的购买链接指引。 - 其余功能与说明保持不变。
v1.0.1
- Initial skill metadata file (_meta.json) added. - SKILL.md updated with clearer setup steps and improved API Key acquisition logic. - Priority for API Key: now tries the environment variable (MINIMAX_API_KEY) before falling back to config file. - Paths and instructions generalized to use user home directories (e.g., ~/) and current skill directory ({curDir}), improving portability. - Steps for API Key retrieval now reference newer config file locations and remove reliance on gateway provider extraction. - Documentation streamlined for easier first-time setup and maintenance.
v1.0.0
Initial release of minimax-understand-image. - Enables image understanding and analysis using MiniMax MCP. - Provides clear installation and configuration steps for dependencies and MiniMax API key. - Supports image input via local path or URL and detailed prompts for analysis. - Includes example command-line usage and full workflow scenarios. - Error handling for missing dependencies and API key is documented. - Script automates setup and invocation of MiniMax's understand_image functionality.
Metadata
Slug minimax-understand-image
Version 1.0.3
License —
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is minimax-understand-image?

使用 MiniMax MCP 进行图像理解和分析。触发条件:(1) 用户要求分析图片、理解图像、描述图片内容 (2) 需要识别图片中的物体、文字、场景 (3) 使用 MiniMax 的 understand_image 功能. It is an AI Agent Skill for Claude Code / OpenClaw, with 8050 downloads so far.

How do I install minimax-understand-image?

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

Is minimax-understand-image free?

Yes, minimax-understand-image is completely free (open-source). You can download, install and use it at no cost.

Which platforms does minimax-understand-image support?

minimax-understand-image is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created minimax-understand-image?

It is built and maintained by 要啥自行车 (@thincher); the current version is v1.0.3.

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