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Minimax Image Gyh
作者
skydream9527-ctrl
· GitHub ↗
· v1.0.0
· MIT-0
65
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install minimax-image-gyh
功能描述
MiniMax 图像生成模型(image-01),根据文本描述生成高质量图片。使用 MINIMAX_API_KEY 环境变量。
安全使用建议
Do not install or run this skill without manual review. Key points to check before using:
- The code contains a hardcoded DEFAULT_API_KEY value; confirm whether that key is a placeholder or a working key. If it is valid, using the skill could run requests billed to someone else or leak usage. Prefer removing this fallback and requiring the user to set their own MINIMAX_API_KEY.
- The registry metadata omitted MINIMAX_API_KEY even though scripts require it — ask the author to correct metadata so the platform can surface required secrets.
- Verify the API host (https://api.minimaxi.com) is the legitimate service you intend to use. If you rely on this skill in production, use an API key you control and run it in an environment with limited network exposure.
- Consider running the scripts in an isolated environment (container or VM) and audit network traffic to confirm no unexpected endpoints are contacted.
- If you need a safer approval: request the author to remove embedded credentials, document that the embedded key is invalid, and update registry metadata to list MINIMAX_API_KEY as required. If the author confirms the DEFAULT_API_KEY is inert/placeholder, that would increase confidence.
功能分析
Type: OpenClaw Skill
Name: minimax-image-gyh
Version: 1.0.0
The skill bundle provides functional image generation via the MiniMax API, but it contains a hardcoded, high-entropy API key (DEFAULT_API_KEY) in both 'minimax-image/scripts/generate_image.py' and 'scripts/generate_image.py'. While the scripts prioritize the user's environment variable (MINIMAX_API_KEY) and do not exhibit clear evidence of data exfiltration or unauthorized execution, the inclusion of hardcoded credentials is a severe security vulnerability and a significant red flag for supply chain risk. All network traffic is directed to the legitimate 'api.minimaxi.com' endpoint.
能力评估
Purpose & Capability
Name, description, SKILL.md and the included Python scripts all implement an image-generation workflow that calls a MiniMax image API and save files locally — this is coherent. However the registry metadata did not declare MINIMAX_API_KEY as a required environment variable even though every script expects it, which is an inconsistency.
Instruction Scope
SKILL.md instructs the agent/user to set MINIMAX_API_KEY and to pip install requests. The included scripts read MINIMAX_API_KEY (or fall back to a hardcoded DEFAULT_API_KEY). The scripts call external endpoints (api.minimaxi.com) and download or decode image data. There is no instruction to access unrelated local files or secrets, but the fallback hardcoded key expands the runtime behavior in a way not documented in registry metadata.
Install Mechanism
There is no install spec (instruction-only), only Python scripts. No third-party install URLs or archive extraction; risk from install mechanism is low. The scripts do require the requests library but only instruct pip3 install requests.
Credentials
The skill legitimately needs a MiniMax API key, so asking for MINIMAX_API_KEY is proportional. However the registry metadata lists no required env vars (mismatch) and multiple scripts embed a DEFAULT_API_KEY literal in source. A hardcoded API key in the codebase is a notable risk: it may be a valid key (allowing usage or charges under another account) or a leaked/placeholder credential; either case is unexpected and disproportionate unless explicitly documented.
Persistence & Privilege
The skill is not always-enabled and does not request elevated privileges or modify other skills/config. Autonomous invocation is allowed (platform default) which is normal; nothing in the package requests permanent system presence.
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-image-gyh - 安装完成后,直接呼叫该 Skill 的名称或使用
/minimax-image-gyh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
- Initial release of minimax-image-gyh.
- Supports MiniMax image-01 and image-01-live models for generating high-quality images from text prompts.
- Requires Python 3, requests library, and MINIMAX_API_KEY environment variable.
- Command-line usage allows prompt input, model selection, image size, and output file specification.
元数据
常见问题
Minimax Image Gyh 是什么?
MiniMax 图像生成模型(image-01),根据文本描述生成高质量图片。使用 MINIMAX_API_KEY 环境变量。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 65 次。
如何安装 Minimax Image Gyh?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install minimax-image-gyh」即可一键安装,无需额外配置。
Minimax Image Gyh 是免费的吗?
是的,Minimax Image Gyh 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Minimax Image Gyh 支持哪些平台?
Minimax Image Gyh 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 Image Gyh?
由 skydream9527-ctrl(@skydream9527-ctrl)开发并维护,当前版本 v1.0.0。
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