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在 OpenClaw 中安装
/install tesla-commands
功能描述
Control your Tesla via MyTeslaMate API. Supports multi-vehicle accounts, climate control, and charging schedules.
安全使用建议
This skill's behavior (calling MyTeslaMate with a bearer token) matches its description, but the registry metadata fails to declare the required TESLA_MATE_TOKEN. Before installing/providing credentials: (1) verify the skill's provenance (the package.json homepage points to a GitHub repo—check that repo and commits), (2) only provide a token scoped for this service (avoid reuse of high-privilege or cloud-wide tokens), (3) prefer running the included script locally first to confirm behavior, (4) confirm the platform will prompt for TESLA_MATE_TOKEN securely, and (5) if unsure, ask the publisher to update registry metadata to declare the required env vars and justify them. If you want higher assurance, request the upstream GitHub repo link and review its history and maintainer identity before trusting your token.
功能分析
Type: OpenClaw Skill
Name: tesla-commands
Version: 1.0.0
The skill is designed to control a Tesla vehicle via the MyTeslaMate API. The `SKILL.md` clearly outlines the purpose, required environment variables (`TESLA_MATE_TOKEN`, `TESLA_VIN`), and usage. The `bin/tesla-control.py` script uses `urllib.request` to communicate exclusively with `https://api.myteslamate.com`, as expected. There is no evidence of data exfiltration to unauthorized endpoints, malicious command execution, persistence mechanisms, obfuscation, or prompt injection attempts in the `SKILL.md` that would subvert the agent's intended behavior. All actions are aligned with the stated purpose of vehicle control.
能力评估
Purpose & Capability
The name/description, SKILL.md, and bin/tesla-control.py consistently implement MyTeslaMate vehicle control (wake, climate, charge limits, schedules) against https://api.myteslamate.com. The requested operations match the stated purpose.
Instruction Scope
Runtime instructions are narrowly scoped: set TESLA_MATE_TOKEN (and optionally TESLA_VIN) and run the included script with the documented CLI flags. The instructions do not ask the agent to read unrelated files or exfiltrate data to unexpected endpoints; network calls are limited to the MyTeslaMate API base URL.
Install Mechanism
There is no install spec (instruction-only), which minimizes install-time risk. However, a runnable Python script is included in the bundle (bin/tesla-control.py) — this is fine but means the skill will execute local code rather than only calling remote services.
Credentials
The SKILL.md and the Python script require TESLA_MATE_TOKEN (and optionally TESLA_VIN) to operate, but the registry metadata incorrectly lists 'Required env vars: none' and 'Primary credential: none'. This mismatch is concerning because the platform may not surface the need for a secret and users could be asked to provide credentials without clear registry-level prompts.
Persistence & Privilege
The skill does not request persistent system privileges, does not set always:true, and does not modify other skills or system-wide configs. It runs on demand and relies on environment variables for auth.
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 tesla-commands - 安装完成后，直接呼叫该 Skill 的名称或使用
/tesla-commands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 public release
元数据
常见问题
Tesla Commands 是什么？
Control your Tesla via MyTeslaMate API. Supports multi-vehicle accounts, climate control, and charging schedules. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1793 次。
如何安装 Tesla Commands？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tesla-commands」即可一键安装，无需额外配置。
Tesla Commands 是免费的吗？
是的，Tesla Commands 完全免费（开源免费），可自由下载、安装和使用。
Tesla Commands 支持哪些平台？
Tesla Commands 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 Tesla Commands？
由 ovaris（@ovaris）开发并维护，当前版本 v1.0.0。
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