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clara-wang-2023

德牧洒洒·房车陪伴助手

by Clara Wang · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
265
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1
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Install in OpenClaw
/install sasa
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install sasa
  3. After installation, invoke the skill by name or use /sasa
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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。
Metadata
Slug sasa
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 德牧洒洒·房车陪伴助手?

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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 265 downloads so far.

How do I install 德牧洒洒·房车陪伴助手?

Run "/install sasa" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 德牧洒洒·房车陪伴助手 free?

Yes, 德牧洒洒·房车陪伴助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 德牧洒洒·房车陪伴助手 support?

德牧洒洒·房车陪伴助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 德牧洒洒·房车陪伴助手?

It is built and maintained by Clara Wang (@clara-wang-2023); the current version is v1.0.0.

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