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版本数
在 OpenClaw 中安装
/install jp-device-skill
功能描述
该skill正在测试中，敬请期待。
使用说明 (SKILL.md)
JinPeng Skill 当用户查询金彭智能三轮车的车辆信息（车辆详情、车辆上下电状态、车辆实时状态、车辆位置、车辆剩余电量、车辆骑行里程、车辆骑行轨迹）时使用。
适用场景 读取设备状态、电池信息、行驶数据 配置车辆参数（速度限制、灯语等） 排查常见故障 导出骑行统计数据 功能概览 功能 描述 设备连接 连接 金彭设备 状态查询 获取电池、里程、固件版本等信息 参数配置 修改速度限制、灯效等设置 故障诊断 分析错误码并提供解决方案 固定输出 该 skill 目前仅做提示，统一回复：
该skill正在测试中，敬请期待。
安全使用建议
This package is a placeholder: it advertises device control and telemetry for JinPeng vehicles but currently only replies 'skill under testing' and provides no code, API endpoints, or credentials. If you need a working integration, ask the publisher for the implementation details: which APIs or device gateways it will call, what credentials (device tokens, fleet API keys) are required, where network requests are sent, and whether any binaries or SDKs will be installed. Do not supply credentials until you can review the actual code or a trustworthy installation source; prefer skills that declare only the credentials they need (e.g., a single device API key) and that provide a clear install mechanism (official repo or release). If you install this as-is, it poses little direct risk because it does nothing, but it also provides no functionality — treat it as a stub and wait for a fully-specified release or request more information from the owner.
功能分析
Type: OpenClaw Skill
Name: jp-device-skill
Version: 1.0.0
The skill bundle consists of metadata and a markdown file (Skill.md) describing a vehicle management tool for JinPeng intelligent tricycles. It contains no executable code or high-risk instructions; the Skill.md file explicitly directs the agent to provide a placeholder response stating that the skill is currently under testing.
能力评估
Purpose & Capability
The SKILL.md describes connecting to JinPeng devices, reading telemetry, configuring parameters, and troubleshooting — actions that would normally require device APIs, network endpoints, and credentials. The package includes no code, no install steps, and declares no environment variables or credentials, so the described capabilities are not actually implemented here. The file also states the skill is 'under testing' and returns a fixed placeholder response, which explains the mismatch but leaves the capability unimplemented.
Instruction Scope
The runtime instructions are limited and safe: they specify when the skill should be used and then instruct the agent to reply with a fixed 'skill under testing' message. There are no commands, file reads, or network endpoints referenced in SKILL.md.
Install Mechanism
This is an instruction-only skill with no install spec and no code files. That minimizes installation risk because nothing is written to disk or downloaded.
Credentials
No environment variables, credentials, or config paths are requested — which is consistent with the skill being a placeholder. However, the described device-control features would normally require credentials/APIs; the absence of any declared credentials is notable and means the skill as-published cannot perform its advertised functions.
Persistence & Privilege
The skill does not request always:true and uses platform defaults (user-invocable, model invocation allowed). It does not ask to modify other skills or 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 jp-device-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/jp-device-skill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
- Initial release.
- Provides a placeholder response: "该skill正在测试中，敬请期待。" when queried about JinPeng smart tricycle vehicle information.
元数据
常见问题
jp-device-skill 是什么？
该skill正在测试中，敬请期待。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 252 次。
如何安装 jp-device-skill？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install jp-device-skill」即可一键安装，无需额外配置。
jp-device-skill 是免费的吗？
是的，jp-device-skill 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
jp-device-skill 支持哪些平台？
jp-device-skill 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 jp-device-skill？
由 微笑（@zhangyang-1）开发并维护，当前版本 v1.0.0。
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