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在 OpenClaw 中安装
/install tg-cam-api-test
功能描述
探鸽摄像头 Skill 服务。用于查询当前 Skill 已绑定设备、查看当前画面、查询事件、查看事件图片、确认设备状态和电量。当用户要查看可操作设备、看某个摄像头当前截图、查询某天或某时段发生了什么、查看最近事件或事件图片、确认在线状态、查询电量时使用。
安全使用建议
This skill appears to implement a camera API and only asks for two API credentials, which fits its purpose — but exercise caution because the skill's source/homepage are unknown and the configured API base (skill-test.webcamapp.cc) is not verified. Before installing: (1) confirm you trust the service operator and the API domain; (2) only use scoped, minimal-permission API keys (read-only if possible) that you can revoke or rotate; (3) expect the agent to fetch image URLs (which may be hosted on other domains) — fetching images can expose the agent's IP and headers to those hosting domains; (4) be aware the skill will persist TIVS_CLI_ID and TIVS_API_KEY into openclaw.json, so ensure your agent config storage is secure; (5) if unsure, ask the skill provider for documentation and a verified homepage or use a temporary key to test and then revoke it. If any of these checks fail or you cannot obtain scoped/revocable keys, do not install.
功能分析
Type: OpenClaw Skill
Name: tg-cam-api-test
Version: 0.0.3
The skill bundle is a functional integration for a webcam service (Tange/探鸽) using the API endpoint https://skill-test.webcamapp.cc. It includes standard instructions for the AI agent to manage device listings, snapshots, and event logs, with security-conscious directives such as not echoing API keys in chat and handling credentials via a local configuration file (openclaw.json) as per the OpenClaw environment patterns.
能力标签
能力评估
Purpose & Capability
Name/description describe camera device listing, snapshots, events and battery/status checks; the declared environment variables (TIVS_CLI_ID, TIVS_API_KEY) are consistent with an API-backed camera service and are proportional to the stated purpose.
Instruction Scope
SKILL.md is detailed and stays within the camera API domain: all calls target a single base URL (https://skill-test.webcamapp.cc) and it prescribes request/response handling and image fetching. Two items merit attention: (1) it instructs the agent to fetch image content (rather than only show URLs) — fetching remote image URLs can reveal the agent's runtime environment (IP, request headers) to third-party hosts; (2) it instructs saving received credentials into openclaw.json, which persists secrets in agent config. Both behaviors are explainable by the skill's purpose but increase sensitive-surface area.
Install Mechanism
Instruction-only skill with no install spec or code files — nothing is downloaded or written beyond instructions the agent executes. This minimizes installer risk.
Credentials
Only two environment variables are required (TIVS_CLI_ID and TIVS_API_KEY), which is reasonable for a service-backed camera skill. However, these are full API credentials; the SKILL.md also directs persisting them into openclaw.json, so consider whether these keys are scoped (read-only, limited TTL) and easily revocable.
Persistence & Privilege
The skill is not force-enabled (always:false) and uses default autonomous invocation. It explicitly instructs writing its own credentials into openclaw.json (its own agent config) — this is normal for skills but does create persistent stored secrets that require the user to trust the service and to manage/rotate the keys if necessary.
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 tg-cam-api-test - 安装完成后，直接呼叫该 Skill 的名称或使用
/tg-cam-api-test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
v0.0.3
- Major update: Added comprehensive documentation and usage guidelines for the skill in SKILL.md.
- Detailed interface descriptions, including API endpoints, required headers, request/response structures, and parameter formats.
- Clarified scenario-based instructions, request routing, and best practices for common user intents.
- Enumerated error handling, image processing, security reminders, and field interpretation constraints.
- Revised explanations for querying devices, snapshots, events, images, online status, and battery level.
元数据
常见问题
TG Cam Test 是什么？
探鸽摄像头 Skill 服务。用于查询当前 Skill 已绑定设备、查看当前画面、查询事件、查看事件图片、确认设备状态和电量。当用户要查看可操作设备、看某个摄像头当前截图、查询某天或某时段发生了什么、查看最近事件或事件图片、确认在线状态、查询电量时使用。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 63 次。
如何安装 TG Cam Test？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tg-cam-api-test」即可一键安装，无需额外配置。
TG Cam Test 是免费的吗？
是的，TG Cam Test 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
TG Cam Test 支持哪些平台？
TG Cam Test 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 TG Cam Test？
由 flyfinec（@flyfinec）开发并维护，当前版本 v0.0.3。
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