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wangyi-banana2
作者
zxq790909-maker
· GitHub ↗
· v1.0.0
· MIT-0
264
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当前安装
1
版本数
在 OpenClaw 中安装
/install wangyi-banana2
功能描述
Generate images and videos via WangYi Banana API (nano-banana, SORA2). Supports text-to-image, image-to-image, text-to-video, image-to-video, and character c...
安全使用建议
This skill appears to do what it claims (image/video generation) and includes a runnable script, but there are a few things to consider before installing:
- Do NOT paste your private API key into an untrusted chat. The docs explicitly suggest providing the API key in conversation; prefer setting the WANGYI_API_KEY environment variable or placing it in your own ~/.openclaw/openclaw.json only after you review the script.
- Review scripts/wangyi-banana.py yourself (it will POST files and data to the service host). Confirm you are comfortable with the host (https://ai.t8star.cn). The install docs list backup hosts and a raw IP; the script appears to use only the main host, but those alternate addresses are present in documentation and affiliate links—treat them with caution.
- If you have sensitive files, avoid passing arbitrary filesystem paths to the skill unless you understand the exact API call being made (image-to-video/image-to-image will upload the provided files to the remote API).
- If you want extra safety, run the script in an isolated environment/container or inspect/modify it to restrict allowable upload paths and endpoints before use.
If you want, I can: (1) summarize the script's network calls and where it uploads data, (2) search the full script for any unexpected endpoints or data exfiltration patterns, or (3) suggest a safer configuration workflow to avoid pasting secrets in chat.
功能分析
Type: OpenClaw Skill
Name: wangyi-banana2
Version: 1.0.0
The skill bundle is a functional wrapper for the WangYi Banana (T8/Zhenzhen Workshop) image and video generation API. While the documentation (install.md) contains promotional content and affiliate links for the service, the underlying Python script (wangyi-banana.py) follows standard practices for API interaction and file handling within the OpenClaw ecosystem. It uses curl for network requests and restricts file operations to expected directories, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description, required binaries (python3, curl), and the included script all align with an image/video generation skill that uses a WangYi Banana API. The primary credential (WANGYI_API_KEY) is expected. Minor mismatch: install.md and several docs list multiple backup hosts (including an IP address and alternate domains), while the script explicitly forces a single DEFAULT_HOST (https://ai.t8star.cn) and includes a comment about avoiding backups.
Instruction Scope
SKILL.md places strong runtime constraints (always use the included script, always deliver via message tool, never print API URLs) which are coherent with a wrapper script model. However the docs explicitly encourage users to provide their API key in-chat (and show configuration file locations), which promotes sending secrets in conversation. Also install.md and other docs publish registration links and backup host URLs (including raw IP) that contradict the script's 'only use DEFAULT_HOST' comment. These are scope/safety concerns for users and the agent's behavior.
Install Mechanism
No remote install/download step is present (instruction-only + an included Python script). The script uses only standard tools (curl, python3) and creates temporary files for curl payloads; no archive downloads or third-party package installs were found in the provided files.
Credentials
The skill requests one primary credential (WANGYI_API_KEY), which matches the described API usage. The script also reads the user's ~/.openclaw/openclaw.json to locate a stored key — this is relevant to functionality but does read a user config file. The docs encouraging users to paste API keys into chat increases the risk of accidental secret disclosure (not a capability mismatch, but a user-safety issue).
Persistence & Privilege
The skill does not request always:true and is user-invocable. It reads/writes only its own output directory under /tmp/openclaw/wangyi-output and reads the OpenClaw config for API key. No modifications to other skills or system-wide settings are indicated.
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 wangyi-banana2 - 安装完成后，直接呼叫该 Skill 的名称或使用
/wangyi-banana2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 wangyi-banana skill with WangYi Banana API integration for image and video generation.
- Supports text-to-image, image-to-image, text-to-video, image-to-video, and character creation.
- Introduces friendly Chinese persona "武镜画家小助手" with warm, lively responses and built-in cost reporting.
- Enforces strict file delivery rules using the message tool (never show raw paths or internal URLs).
- Requires user to select models before generation; follows distinct flows for image and video tasks with mandatory notifications for slow tasks.
- Includes guide for API key setup and auto-fallback between multiple API host endpoints for reliability.
元数据
常见问题
wangyi-banana2 是什么？
Generate images and videos via WangYi Banana API (nano-banana, SORA2). Supports text-to-image, image-to-image, text-to-video, image-to-video, and character c... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 264 次。
如何安装 wangyi-banana2？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wangyi-banana2」即可一键安装，无需额外配置。
wangyi-banana2 是免费的吗？
是的，wangyi-banana2 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
wangyi-banana2 支持哪些平台？
wangyi-banana2 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 wangyi-banana2？
由 zxq790909-maker（@zxq790909-maker）开发并维护，当前版本 v1.0.0。
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