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JARVIS AI Skills
作者
Aly-Joseph
· GitHub ↗
· v1.0.0
2242
总下载
3
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install jarvis-skills
功能描述
Control robotic arms and grippers via voice or code with OpenClaw, supporting precise 6-DOF movement, force sensing, collision detection, and simulation.
使用说明 (SKILL.md)
Robotic Control Skill (OpenClaw)\r
\r
Overview\r
The Robotic Control skill integrates OpenClaw for physical robotic arm and gripper manipulation through voice commands and programmatic control.\r \r
Slug\r
robotic-control\r \r
Features\r
- Robotic arm movement (6-DOF)\r
- Gripper grab/release operations\r
- Precise positioning and orientation\r
- Force/torque sensing\r
- Collision detection and safety\r
- Action sequence execution\r
- Hardware auto-detection\r
- Simulation mode support\r \r
Implementation\r
- Module:
openclaw_control.py\r - Primary Library:
OpenClaw SDK\r - Communication: USB Serial, Ethernet, ROS\r \r
Configuration\r
from openclaw_control import init_claw, get_claw\r
\r
# Initialize claw\r
claw = init_claw()\r
\r
# Control operations\r
claw.grab(force=50.0)\r
claw.move_to(10, 20, 30)\r
claw.release()\r
```\r
\r
## Voice Commands\r
- "Jarvis, grab the object"\r
- "Jarvis, move to 10 20 30"\r
- "Jarvis, rotate 45 degrees"\r
- "Jarvis, release"\r
- "Jarvis, return to home"\r
- "Jarvis, claw status"\r
\r
## Hardware Support\r
- Universal Robots (UR)\r
- ABB Robotics\r
- KUKA\r
- Stäubli\r
- Custom embedded systems\r
\r
## Performance\r
- Reach: 2-3 meters (model-dependent)\r
- Payload: 3-500 kg (model-dependent)\r
- Precision: ±0.03-0.1 mm\r
- Speed: 1-7000 mm/s\r
- Response Time: \x3C10ms\r
\r
## Dependencies\r
- openclaw\r
- pyserial\r
- numpy\r
\r
## Author\r
Aly-Joseph\r
\r
## Version\r
2.0.0\r
\r
## Last Updated\r
2026-01-31\r
安全使用建议
Do not install or attach this to any real robot yet. The skill package is incomplete and inconsistent: it references an implementation file (openclaw_control.py) and dependencies but those are not included. Before proceeding, ask the publisher for the missing code and a trustworthy repository link, verify the openclaw package source, confirm how network/serial credentials and IPs are supplied, and run thoroughly in a disconnected simulator or controlled test environment. If you plan to use this with physical hardware, require explicit safety checks, audited code, and deny the agent direct access to serial/network interfaces until you have vetted the implementation.
功能分析
Type: OpenClaw Skill
Name: jarvis-skills
Version: 1.0.0
The skill bundle appears benign based on the provided metadata and documentation. The `SKILL.md` and `skill.json` files clearly define the purpose as robotic arm and gripper manipulation, listing appropriate dependencies (`openclaw`, `pyserial`, `numpy`) and interfaces (`grab`, `release`, `move_to`). There is no evidence of prompt injection attempts against the agent, data exfiltration, malicious execution, or other harmful behaviors in the analyzed files. The instructions and descriptions are consistent with the stated purpose of controlling a physical robot.
能力评估
Purpose & Capability
The SKILL.md and skill.json describe a robotic-control module (openclaw_control.py) and hardware capabilities (USB/ETH/ROS) but no code files are included and no install spec is provided. The registry metadata at the top lists a different name/version (JARVIS AI Skills v1.0.0) than the skill.json/SKILL.md (Robotic Control / v2.0.0), and skill.json declares a homepage/repo while registry metadata reported none — these inconsistencies suggest the package is incomplete or mismatched with its claims.
Instruction Scope
Runtime instructions show example code calling init_claw(), grab(), move_to(), etc., and describe direct hardware communication (USB Serial, Ethernet, ROS). However, since the required implementation file (openclaw_control.py) is missing and there are no concrete safe-usage constraints or required network addresses/credentials declared, the instructions are incomplete and would push an agent to attempt hardware access without provenance or safeguards.
Install Mechanism
There is no install spec (instruction-only), which reduces the risk of arbitrary downloads. However, skill.json lists dependencies (openclaw, pyserial, numpy) and requiredFiles including openclaw_control.py that are not present — this mismatch is concerning because the runtime assumes local modules that aren't provided by the package.
Credentials
No environment variables, credentials, or config paths are required, yet the skill describes networked hardware (Ethernet, ROS) which typically requires IPs, authentication, or config. The absence of any declared env/config requirements is disproportionate to the claimed capability and hides where connection details or secrets would come from.
Persistence & Privilege
The skill does not request always: true and has normal autonomous-invocation settings. That is reasonable, but combined with the ability to control physical hardware (if implemented), autonomous invocation increases risk — the package itself does not request elevated system persistence or system-wide config changes.
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 jarvis-skills - 安装完成后，直接呼叫该 Skill 的名称或使用
/jarvis-skills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 of the Robotic Control Skill (OpenClaw) for robotic arm and gripper control.
- Supports 6-DOF arm movement, gripper operations, collision detection, and force/torque sensing.
- Includes action sequence execution, hardware auto-detection, and simulation mode.
- Compatible with multiple industrial robot brands and custom systems.
- Provides voice command interface and example code for integration.
- Performance specifications and main dependencies documented.
元数据
常见问题
JARVIS AI Skills 是什么？
Control robotic arms and grippers via voice or code with OpenClaw, supporting precise 6-DOF movement, force sensing, collision detection, and simulation. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 2242 次。
如何安装 JARVIS AI Skills？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install jarvis-skills」即可一键安装，无需额外配置。
JARVIS AI Skills 是免费的吗？
是的，JARVIS AI Skills 完全免费（开源免费），可自由下载、安装和使用。
JARVIS AI Skills 支持哪些平台？
JARVIS AI Skills 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 JARVIS AI Skills？
由 Aly-Joseph（@aly-joseph）开发并维护，当前版本 v1.0.0。
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