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德牧洒洒·房车陪伴助手
作者
Clara Wang
· GitHub ↗
· v1.0.0
· MIT-0
265
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install sasa
功能描述
洒洒(房车陪伴助手)。会说话的德牧导航官,净如姐房车旅途的小狗搭子。唤醒口令「洒洒,洒洒」,可语音控制高德导航、邮件回复、百度/谷歌搜索、腾讯会议及常用App。
安全使用建议
This package appears to be a local demo/static webpage for a voice assistant rather than a fully integrated controller for navigation/email/meetings. Before installing/using:
- Inspect the full assets/index.html (search for fetch/XHR, websocket, window.open, location.href, navigator.registerProtocolHandler, or any external URLs) to see whether it contacts remote servers or attempts to open URL schemes (deep links) that interact with native apps.
- If you plan to use it, open the page in a browser with DevTools open and monitor the Network tab to confirm no unexpected outbound requests occur. Consider blocking network access initially.
- Be aware the page will request microphone (and maybe camera) permission; granting these allows local audio/video capture. Only grant if you trust the source.
- If you expect true integration (e.g., send email, control 高德, join 腾讯会议), ask the author for details: which APIs or URL schemes are used and whether any credentials or OAuth flows are required. The provided files look like a UI simulator with canned replies, not a complete integration.
- If you cannot verify the remaining script content (truncated here), treat the package as untrusted or run it in a sandboxed environment.
功能分析
Type: OpenClaw Skill
Name: sasa
Version: 1.0.0
The skill bundle describes a simulated RV companion assistant named 'Sasa' with a German Shepherd persona. The provided code in assets/index.html is a self-contained web interface that uses basic keyword matching and the browser's SpeechRecognition API to simulate interactions; it contains no external network calls, data exfiltration logic, or malicious instructions.
能力评估
Purpose & Capability
The name/description promise voice control of navigation (高德), email reply, Tencent Meeting, camera, and web search. The package only contains a static HTML/JS UI (assets/index.html) and no install steps, binaries, or credential requests. For a purely local browser-based assistant that uses deep links or browser APIs, no credentials might be required — but the skill also presents canned responses rather than clear integration code. The claimed integrations are plausible in principle, but the provided files do not demonstrate real integrations.
Instruction Scope
SKILL.md tells the user to copy assets/ and open assets/index.html in a browser and to speak the wake word. The included HTML/JS (partially shown) appears to produce canned replies and UI behavior, not real service calls. The SKILL.md promises control of external apps, but the visible script content returns static responses and does not show calls to external services or URL schemes. The HTML will request microphone/camera permissions in-browser (normal for voice/camera features) — that implies audio/video capture which is sensitive. The provided files may be only a demo/simulator; the mismatch between promised capabilities and the actual code is the main concern. The remainder of index.html is truncated here, so it's impossible to fully confirm whether remote endpoints or deep-link invocations exist.
Install Mechanism
No install spec and no binaries declared; the skill is instruction-only and delivered as static files the user opens in a browser. This is the lowest install risk model (nothing is written to system paths).
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate for a local static web UI. Note: the page will ask for microphone and possibly camera permissions in the browser — these are expected for voice/camera features but are sensitive (audio/video capture).
Persistence & Privilege
No special persistence or platform privileges are requested. Flags show default invocation behavior (not always: true). The skill does not claim to modify agent/system settings.
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 sasa - 安装完成后,直接呼叫该 Skill 的名称或使用
/sasa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
洒洒是一只房车德牧导航官,可以陪伴房车一族在旅居生活中,随时都有AI助手的帮助。
元数据
常见问题
德牧洒洒·房车陪伴助手 是什么?
洒洒(房车陪伴助手)。会说话的德牧导航官,净如姐房车旅途的小狗搭子。唤醒口令「洒洒,洒洒」,可语音控制高德导航、邮件回复、百度/谷歌搜索、腾讯会议及常用App。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 265 次。
如何安装 德牧洒洒·房车陪伴助手?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sasa」即可一键安装,无需额外配置。
德牧洒洒·房车陪伴助手 是免费的吗?
是的,德牧洒洒·房车陪伴助手 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
德牧洒洒·房车陪伴助手 支持哪些平台?
德牧洒洒·房车陪伴助手 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 德牧洒洒·房车陪伴助手?
由 Clara Wang(@clara-wang-2023)开发并维护,当前版本 v1.0.0。
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