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在 OpenClaw 中安装
/install vapi-image-gen
功能描述
Generate images via VAPI's OpenAI-compatible Images API. Supports nano-banana and gpt-image model series. Default model is nano-banana-pro. Images are NOT sa...
安全使用建议
This skill appears to do exactly what it says: it sends your VAPI_API_KEY to whatever VAPI_BASE_URL you configure and will download/save images to ~/.openclaw by default when requested. Before installing, confirm you trust the VAPI provider (default base URL is https://api.v3.cm/v1). Be aware that: the script will download any input image URL you pass and may download image URLs returned by the API, it will create ~/.openclaw/media (or ~/.openclaw/oss) when saving, and gpt-image models always save files. If you do not trust the configured base URL or do not want files written under your home directory, do not install or run this skill.
功能分析
Type: OpenClaw Skill
Name: vapi-image-gen
Version: 1.0.1
The vapi-image-gen skill is a standard implementation for generating and editing images using an OpenAI-compatible API (VAPI). The Python script (scripts/gen.py) uses the built-in urllib library to handle API requests and local file operations, including downloading images for editing and saving results to documented directories (~/.openclaw/media/). No evidence of data exfiltration, malicious execution, or prompt injection was found; the code's behavior aligns strictly with its stated purpose.
能力评估
Purpose & Capability
Name/description (image generation via VAPI) match the actual behavior: the script calls {base_url}/images/generations and /images/edits and consumes VAPI_API_KEY and VAPI_BASE_URL. No unrelated credentials or binaries are requested.
Instruction Scope
SKILL.md tells the agent to run the included Python script with prompt/model/save flags. The script only reads the two declared env vars, may download provided input URLs, calls only the configured base_url endpoints, and writes files under ~/.openclaw. There are no instructions to read unrelated system files or exfiltrate other data.
Install Mechanism
No install spec (instruction-only) and the included Python script uses only stdlib modules and urllib; nothing is downloaded from arbitrary URLs during installation. Risk from install mechanism is low.
Credentials
Only VAPI_API_KEY (primary) and VAPI_BASE_URL are required, which are appropriate for an API client. No unrelated secrets or system config paths are requested.
Persistence & Privilege
Skill is not always:true and does not request elevated or persistent platform privileges. It will create and write to ~/.openclaw media/ and oss/ directories as documented (expected behavior for save flags).
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 vapi-image-gen - 安装完成后,直接呼叫该 Skill 的名称或使用
/vapi-image-gen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
v1.0.1
vapi-image-gen 1.0.0
- Initial release.
- Supports image generation via VAPI's OpenAI-compatible Images API.
- Handles nano-banana and gpt-image model series.
- Default model: nano-banana-pro.
- Images are not saved locally unless --save is used.
- Requires environment variables `VAPI_API_KEY` and `VAPI_BASE_URL`.
v1.0.0
vapi-image-gen 1.0.0
- Initial release of vapi-image-gen: generate images using VAPI's OpenAI-compatible Images API.
- Supports both the nano-banana (URL output) and gpt-image (base64, always saved) model series.
- Default model is nano-banana-pro, with options for high-resolution images and aspect ratios.
- Images are not saved locally by default; use the --save or --oss flags to store images.
- Flexible configuration via environment variables and config files.
元数据
常见问题
nano-banana、gpt-image 是什么?
Generate images via VAPI's OpenAI-compatible Images API. Supports nano-banana and gpt-image model series. Default model is nano-banana-pro. Images are NOT sa... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 331 次。
如何安装 nano-banana、gpt-image?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install vapi-image-gen」即可一键安装,无需额外配置。
nano-banana、gpt-image 是免费的吗?
是的,nano-banana、gpt-image 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
nano-banana、gpt-image 支持哪些平台?
nano-banana、gpt-image 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 nano-banana、gpt-image?
由 popdo(@popdo)开发并维护,当前版本 v1.0.1。
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