技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 3 · 1.9k · 2 current installs · 2 all-time installs
⭐ 3
安装量（当前） 2
🛡 VirusTotal ：良性 · OpenClaw ：可疑
Package：aly-joseph/jarvis-skills
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：可疑
OpenClaw 评估
The skill claims to provide robotic hardware control but the package is incomplete and metadata/instructions don't align with what would be needed to safely and correctly control physical robots.
目的
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 th…
说明范围
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 saf…
安装机制
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.
证书
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.
持久
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.
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「JARVIS AI Skills」。简介：Control robotic arms and grippers via voice or code with OpenClaw, supporting p…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aly-joseph/jarvis-skills/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
# Robotic Control Skill (OpenClaw)
## Overview
The Robotic Control skill integrates OpenClaw for physical robotic arm and gripper manipulation through voice commands and programmatic control.
## Slug
robotic-control
## Features
- Robotic arm movement (6-DOF)
- Gripper grab/release operations
- Precise positioning and orientation
- Force/torque sensing
- Collision detection and safety
- Action sequence execution
- Hardware auto-detection
- Simulation mode support
## Implementation
- **Module**: `openclaw_control.py`
- **Primary Library**: `OpenClaw SDK`
- **Communication**: USB Serial, Ethernet, ROS
## Configuration
```python
from openclaw_control import init_claw, get_claw
# Initialize claw
claw = init_claw()
# Control operations
claw.grab(force=50.0)
claw.move_to(10, 20, 30)
claw.release()
```
## Voice Commands
- "Jarvis, grab the object"
- "Jarvis, move to 10 20 30"
- "Jarvis, rotate 45 degrees"
- "Jarvis, release"
- "Jarvis, return to home"
- "Jarvis, claw status"
## Hardware Support
- Universal Robots (UR)
- ABB Robotics
- KUKA
- Stäubli
- Custom embedded systems
## Performance
- Reach: 2-3 meters (model-dependent)
- Payload: 3-500 kg (model-dependent)
- Precision: ±0.03-0.1 mm
- Speed: 1-7000 mm/s
- Response Time: <10ms
## Dependencies
- openclaw
- pyserial
- numpy
## Author
Aly-Joseph
## Version
2.0.0
## Last Updated
2026-01-31