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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 if you are comfortable using a cloud MiniMax service for the images and prompts you provide. Prefer setting `MINIMAX_API_KEY` yourself instead of letting the skill inspect `auth-profiles.json`, verify the MCP package source and version before running it, and protect or avoid plaintext storage of the API key.
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
Purpose & Capability
The stated purpose, SKILL.md workflow, and Python script mostly align: they configure a MiniMax key, run `uvx minimax-coding-plan-mcp`, and call the `understand_image` tool with a user-provided image path or URL and prompt. The dependency name is broader than the skill name but is used consistently as the MCP server for the advertised tool.
Instruction Scope
The instructions tell the agent to look in `~/.openclaw/agents/main/agent/auth-profiles.json` for a matching MiniMax key before asking the user. That is sensitive profile/credential-store access, and the artifact only says to confirm use after a matching key is found, not to get explicit approval before opening the profile store.
Install Mechanism
The setup recommends `curl -LsSf https://astral.sh/uv/install.sh | sh` and installs `minimax-coding-plan-mcp` without a pinned version or checksum. This is disclosed and user-directed, but it gives the skill’s behavior to network-fetched code outside the artifact.
Credentials
The script sends the provided image source and prompt to a MiniMax MCP process configured for `https://api.minimaxi.com`, which is expected for cloud image understanding. It also passes the full current environment to the subprocess, which may expose unrelated environment secrets to the external MCP package.
Persistence & Privilege
The workflow persists the MiniMax API key in `~/.openclaw/config/minimax.json` as plaintext and does not specify restrictive file permissions. There is no background persistence, privilege escalation, deletion, or destructive behavior in the artifact.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install minimax-understand-image - After installation, invoke the skill by name or use
/minimax-understand-image - 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
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 7201 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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