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tescmd
作者
Oceanswave
· GitHub ↗
· v1.0.0
2226
总下载
2
收藏
1
当前安装
6
版本数
在 OpenClaw 中安装
/install openclaw-tescmd
功能描述
Installation and setup guide for Tesla vehicle control and telemetry via the tescmd node.
安全使用建议
This skill appears to be a legitimate setup guide for the tescmd node, but before installing: 1) Be aware you will need to run interactive flows that create OAuth tokens and EC keys and host a public key (GitHub Pages or Tailscale) — these involve your GitHub and Tesla accounts. 2) The registry metadata did not declare the required tools (git, gh, python, optionally tailscale); treat that as a transparency gap. 3) 'pip install tescmd' and any 'curl | sh' installer fetch and run code from the network — review the tescmd and installer sources (GitHub repo and PyPI package) to ensure they are trustworthy. 4) Consider performing the setup on an isolated machine or VM, inspect ~/.config/tescmd/bridge.json after setup, and avoid sharing tokens. If you want me to, I can: (a) fetch and summarize the tescmd GitHub repo contents for suspicious patterns, (b) list exactly which files/paths the setup writes, or (c) walk you step-by-step through doing this in an isolated environment.
功能分析
Type: OpenClaw Skill
Name:
Developer:
Version:
Description: OpenClaw Agent Skill
The skill bundle is classified as suspicious primarily due to the use of `curl -fsSL https://tailscale.com/install.sh | sh` in SKILL.md for installing Tailscale. While `tailscale.com` is a legitimate domain, this command executes arbitrary remote code directly, which is a high-risk practice and a common vector for supply chain attacks if the remote script or domain were compromised. Additionally, the skill involves extensive system-level operations (e.g., `sudo` commands for package installation) and establishes network connections for vehicle control, which are inherently high-risk capabilities, even if intended for the stated purpose.
能力评估
Purpose & Capability
The SKILL.md describes installing a Gateway plugin and a tescmd node to control Tesla vehicles — that aligns with the skill name and description. However, the registry metadata declares no required binaries or credentials while the instructions explicitly require git, GitHub CLI (gh), Python 3.11+, and (recommended) Tailscale; this mismatch is an inconsistency in the published metadata.
Instruction Scope
The instructions stay within the stated purpose: installing the plugin, installing the tescmd CLI, running an interactive setup that generates keys, performing OAuth login with Tesla, hosting a public key (GitHub Pages or Tailscale), and pairing the node. They do instruct writing tokens/keys to local config (e.g., ~/.config/tescmd/bridge.json) and require physical presence for vehicle pairing — all expected for this use case.
Install Mechanism
This is an instruction-only skill (no automatic install). The install steps call 'pip install tescmd' and suggest running 'curl ... | sh' to install Tailscale if desired. Those are normal for user-driven installs but carry moderate risk (PyPI package, remote install script). The skill does not automatically download or run code itself, but the user will execute network-installed software.
Credentials
Although the registry shows no required env vars or primary credential, the setup requires GitHub authentication (gh login) and a Tesla account OAuth flow; it also generates and hosts EC public keys and stores tokens locally. Sensitive credentials and access (GitHub repo/pages, Tesla OAuth tokens) are involved but not declared in metadata — the omission reduces transparency and is a proportionality concern.
Persistence & Privilege
The skill does not request 'always: true' and uses normal plugin/node pairing. The tescmd node persists an auth token to a user config path (~/.config/tescmd/bridge.json), which is expected for this integration. No instructions indicate modifying other skills or 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 openclaw-tescmd - 安装完成后,直接呼叫该 Skill 的名称或使用
/openclaw-tescmd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 (v1.0.0) of openclaw-tescmd.
- No code or documentation changes since previous version (v0.9.7).
- Comprehensive installation and setup guide for integrating Tesla control and telemetry with OpenClaw via the tescmd node.
v0.3.5
- Major documentation update with a new SKILL.md, replacing the old skill.md file.
- Updated plugin version to 0.9.7 with revised setup instructions and requirements.
- Expanded feature summary: 39 tools, 14 slash commands, real-time telemetry, and supercharger discovery.
- Added notes about CLI fallback support and specific version guidance for plugin installation.
- Improved step-by-step instructions and command references for setup, pairing, and operation.
v0.3.4
No changes detected in this release.
- Version updated from 0.3.4 to 0.4.1.
- No file or documentation changes were made.
v0.3.3
**Version 0.4.1 (from 0.3.9):**
- Updated version number to 0.4.1.
- No other substantive changes to the setup guide or features.
v0.3.2
- Version bump from 0.3.1 to 0.3.9.
- Updated metadata: added "slug" and "displayName" fields to the skill manifest.
- Removed the "Development install (symlink, editable)" instructions from the setup guide.
- Minor formatting and clarification updates throughout the setup documentation.
- Plugin usage, setup, management, and operating modes remain unchanged.
v0.3.1
openclaw-tescmd 0.3.1 Changelog
- Updated SKILL.md with a detailed, step-by-step installation and setup guide for connecting Tesla vehicles using tescmd and OpenClaw Gateway.
- Clarified prerequisites, including required tools (git, GitHub CLI, Python 3.11+, Tailscale).
- Added explicit user prompts and waiting steps for authentication, Tailscale, and interactive setup processes.
- Documented plugin and node management commands for install, health check, enable/disable, and pairing.
- Provided instructions for identifying vehicles, managing pairing requests, and operating modes.
- Included references to support repositories and tescmd features.
元数据
常见问题
tescmd 是什么?
Installation and setup guide for Tesla vehicle control and telemetry via the tescmd node. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2226 次。
如何安装 tescmd?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-tescmd」即可一键安装,无需额外配置。
tescmd 是免费的吗?
是的,tescmd 完全免费(开源免费),可自由下载、安装和使用。
tescmd 支持哪些平台?
tescmd 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 tescmd?
由 Oceanswave(@oceanswave)开发并维护,当前版本 v1.0.0。
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