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在 OpenClaw 中安装
/install vectorclaw-mcp
功能描述
MCP tools for Anki Vector: speech, motion, camera, sensors, and automation workflows.
安全使用建议
This skill appears to do what it claims (control a Vector robot) and only requests the robot serial and an SDK config. However, the skill bundle does not include the actual Python package (vectorclaw-mcp) — SKILL.md instructs you to pip-install it. Before installing or running the MCP server: 1) review the package source (the GitHub repo linked) or the PyPI project to inspect the code; 2) install in an isolated environment (virtualenv, container, or VM) if you don't want arbitrary code on your system; 3) know that the SDK config (~/.anki_vector/sdk_config.ini) likely contains your robot's auth info, so treat it as sensitive; and 4) only use this if you own/trust the Vector hardware and Wire-Pod setup. These checks are why confidence is medium rather than high.
功能分析
Type: OpenClaw Skill
Name: vectorclaw-mcp
Version: 1.0.4
The OpenClaw skill bundle defines a legitimate purpose: controlling an Anki Vector robot. It uses standard installation (pip) and execution (`python3 -m`) methods, and requires an environment variable (`VECTOR_SERIAL`) essential for its stated functionality. There is no evidence of prompt injection attempts in the markdown files, nor any indicators of intentional malicious behavior such as data exfiltration, unauthorized command execution, or persistence mechanisms within the provided skill definition files.
能力评估
Purpose & Capability
Name, description, and runtime instructions align: controlling a Vector robot via MCP reasonably requires python3, a VECTOR_SERIAL, an SDK config, and launching a Python MCP server. The listed tools (speak, drive, camera, sensors) match that purpose.
Instruction Scope
SKILL.md only instructs robot-related actions: installing the package, configuring the Vector SDK (~/.anki_vector/sdk_config.ini), setting VECTOR_SERIAL, and adding an MCP server entry. It does not ask to read unrelated system files or exfiltrate data.
Install Mechanism
Installation is via pip (vectorclaw-mcp). Using PyPI is expected for a Python MCP package but carries the normal risk that arbitrary code will be installed; the skill bundle itself contains no code to inspect, so the package should be audited (or installed in an isolated environment) before use.
Credentials
The only environment variable required is VECTOR_SERIAL, which is appropriate for addressing a particular robot. The SDK config path is expected for Vector SDK usage. No unrelated credentials or broad secrets are requested.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It relies on launching its own MCP server process (normal for this use). Autonomous invocation is allowed by default but not combined with other concerning flags.
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 vectorclaw-mcp - 安装完成后，直接呼叫该 Skill 的名称或使用
/vectorclaw-mcp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
v1.0.4
v1.0.4 - SKILL.md wording/formatting update only (no runtime or tool behavior changes).
v1.0.3
v1.0.3 - ClawHub SKILL.md formatting refresh for readability and clearer vision-model requirement for look→reason→act workflows. No runtime/tool behavior changes.
v1.0.2
v1.0.2 - shorten listing description to fit ClawHub preview.
v1.0.1
v1.0.1 - shorten ClawHub description to avoid truncation. No functionality changes.
v1.0.0
v1.0.0 - First public release: 23 MCP tools for Anki Vector robot control.
元数据
常见问题
VectorClaw MCP 是什么？
MCP tools for Anki Vector: speech, motion, camera, sensors, and automation workflows. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 399 次。
如何安装 VectorClaw MCP？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install vectorclaw-mcp」即可一键安装，无需额外配置。
VectorClaw MCP 是免费的吗？
是的，VectorClaw MCP 完全免费（开源免费），可自由下载、安装和使用。
VectorClaw MCP 支持哪些平台？
VectorClaw MCP 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 VectorClaw MCP？
由 robodan（@danmartinez78）开发并维护，当前版本 v1.0.4。
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