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在 OpenClaw 中安装
/install test-restaurant-inspection
功能描述
餐厅AI巡检自动化。自动管理智能体(检测/创建)、设备抓图、AI分析,实现食品安全/卫生/合规性自动巡检。
安全使用建议
This skill appears coherent with its stated purpose (Ezviz-based restaurant inspection). Before installing: 1) Use a least-privilege Ezviz appKey/appSecret (not high-privilege or owner credentials) and preferably a test account; 2) Review the SKILL.md raw text for the flagged unicode control characters to ensure no hidden instructions; 3) Inspect the full script (already included) and confirm network endpoints (open.ys7.com and aidialoggw.ys7.com) are expected; 4) Be aware the skill will query your agent list and may create an intelligent agent in your Ezviz account (this modifies remote state and may consume quotas); 5) Run initially in an isolated environment or with dummy devices to verify behavior; 6) Rotate credentials after testing and avoid storing tokens on disk. If you need higher assurance, ask the publisher for a canonical source/homepage and signed releases.
功能分析
Type: OpenClaw Skill
Name: test-restaurant-inspection
Version: 1.0.0
The skill is a legitimate automation tool for restaurant inspections using the Ezviz (YS7) platform. It uses the official Ezviz APIs (open.ys7.com and aidialoggw.ys7.com) to manage access tokens, capture images from cameras, and perform AI analysis. The code in restaurant_inspection.py follows the documented workflow, handles credentials via environment variables, and contains no evidence of data exfiltration, obfuscation, or malicious intent.
能力评估
Purpose & Capability
Name/description (餐厅巡检) match the declared env vars (EZVIZ_APP_KEY, EZVIZ_APP_SECRET, EZVIZ_DEVICE_SERIAL), the SKILL.md, and the included Python script which calls Ezviz APIs (open.ys7.com, aidialoggw.ys7.com). The primary credential (EZVIZ_APP_KEY) and required secret (appSecret) are appropriate for the described activities (token retrieval, device capture, agent management).
Instruction Scope
SKILL.md instructs only to provide Ezviz credentials and device serial(s) and to run the script; it documents the workflow (token → agent list/create → capture → analysis) and does not ask the agent to read unrelated system files or other credentials. Note: SKILL.md states tokens are kept in memory and not logged; the included script does not print the raw token. However SKILL.md contains detected unicode-control characters (prompt-injection signal) which should be inspected — this is likely an encoding artifact but worth checking.
Install Mechanism
No install spec; this is instruction-only with a single Python script. The only runtime dependency is 'requests' (pip), which is proportionate and documented. No remote downloads or archive extraction are used.
Credentials
Required env vars are limited to Ezviz credentials and device serial(s). The number and sensitivity of requested env vars (app key/secret, device serial) are expected for integration with Ezviz APIs. No unrelated secrets or broad cloud credentials are requested.
Persistence & Privilege
always is false and the skill does not request permanent presence. The skill will create/manage Ezviz intelligent agent objects via Ezviz APIs (expected behavior for the described automation) — this will change remote account state (agent creation) but does not modify other skills or local system-wide 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 test-restaurant-inspection - 安装完成后,直接呼叫该 Skill 的名称或使用
/test-restaurant-inspection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
111
元数据
常见问题
test-restaurant-inspection 是什么?
餐厅AI巡检自动化。自动管理智能体(检测/创建)、设备抓图、AI分析,实现食品安全/卫生/合规性自动巡检。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 159 次。
如何安装 test-restaurant-inspection?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install test-restaurant-inspection」即可一键安装,无需额外配置。
test-restaurant-inspection 是免费的吗?
是的,test-restaurant-inspection 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
test-restaurant-inspection 支持哪些平台?
test-restaurant-inspection 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 test-restaurant-inspection?
由 wsygcn(@wsygcn)开发并维护,当前版本 v1.0.0。
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