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在 OpenClaw 中安装
/install what-at-home
功能描述
智能家庭物品管理。解决"东西在哪"、"家里有什么"的困惑。支持四级结构：套房→房间→家具→物品。关键词：收纳、整理、居家、存储、物品管理、找东西、家里有什么、东西放在哪、清点物品。
安全使用建议
This skill appears to be a straightforward local home-inventory tool. It reads/writes JSON under {workspace}/data (default ~/.openclaw/workspace/data/home_storage.json) and will create backups there. Before installing: (1) confirm you’re comfortable storing your inventory in that workspace path and set appropriate file permissions if needed; (2) review scripts/home_storage.py yourself (it runs locally with Python and does not appear to contact external servers); (3) if you want isolation, run the skill in a sandbox or with a dedicated workspace (set CLAW_WORKDIR or OPENCLAW_WORKDIR) rather than the default home path. If you need the full remaining portion of the Python file reviewed for peace of mind, provide it and I will inspect it line-by-line.
功能分析
Type: OpenClaw Skill
Name: what-at-home
Version: 1.0.3
The 'what-at-home' skill bundle is a legitimate home inventory management system. The Python script (scripts/home_storage.py) implements basic CRUD operations for tracking items within a hierarchical structure (suites, rooms, furniture) using a local JSON file for storage. It includes safety measures such as using os.path.basename in the restore function to prevent path traversal and restricts file operations to the OpenClaw workspace. No network activity, shell execution, or data exfiltration logic was found.
能力评估
Purpose & Capability
Name/description (home inventory) match the provided files: SKILL.md, README, and a Python implementation that manages suites/rooms/furniture/items and backups. No unrelated binaries or cloud credentials are requested.
Instruction Scope
SKILL.md and INSTALL.md describe only local operations: parse user text, create/load/save JSON, backup/restore, export. The implementation reads/writes only the workspace data file and backup directory and uses no network endpoints or system-wide config files beyond an optional workspace env var.
Install Mechanism
No install spec; the package is instruction-only with a Python script. requirements.txt declares only standard-library usage. No external downloads, URLs, or package installs are required.
Credentials
The code optionally respects CLAW_WORKDIR or OPENCLAW_WORKDIR to locate the workspace; no API keys, secrets, or unrelated environment variables are requested. Data is stored locally in the workspace (default ~/.openclaw/workspace/data).
Persistence & Privilege
Skill is not always:true and does not request elevated privileges. It persists application data under its workspace data path and backup directory only, and does not modify other skills or system-wide configurations.
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 what-at-home - 安装完成后，直接呼叫该 Skill 的名称或使用
/what-at-home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
v1.0.3
- Added version field (1.0.3) and updated frontmatter metadata in SKILL.md.
- Minor formatting improvements for better readability.
- No changes to core features or functionality.
v1.0.2
- Storage location notation updated in documentation: now uses `{workspace}/data/home_storage.json` instead of a fixed path.
- No functional or behavioral changes; documentation only.
v1.0.1
- Improved the skill description for clearer usage scenarios and benefits, both in English and Chinese.
- Highlighted use cases such as home inventory, item tracking, decluttering, and moving preparation.
- No changes to commands or features; all functionality remains the same.
v1.0.0
The original version of this Skill.
元数据
常见问题
What At Home(家里有什么) 是什么？
智能家庭物品管理。解决"东西在哪"、"家里有什么"的困惑。支持四级结构：套房→房间→家具→物品。关键词：收纳、整理、居家、存储、物品管理、找东西、家里有什么、东西放在哪、清点物品。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 132 次。
如何安装 What At Home(家里有什么)？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install what-at-home」即可一键安装，无需额外配置。
What At Home(家里有什么) 是免费的吗？
是的，What At Home(家里有什么) 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
What At Home(家里有什么) 支持哪些平台？
What At Home(家里有什么) 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 What At Home(家里有什么)？
由 Yixj（@yixj）开发并维护，当前版本 v1.0.3。
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