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Install in OpenClaw
/install openclaw-robot-skills
Description
通过统一API支持OMRON TM和JAKA协作机器人,实现连接、状态监控、关节及路径运动、安全控制和IO操作。
Usage Guidance
This package is broadly coherent with its stated purpose (robot control) but you should not run it blindly on a production machine or on a network with live robots. Before installing or executing: 1) Inspect and review the fix_*.py maintenance scripts — they contain hardcoded absolute paths and will overwrite local files if run; do not run them unless you understand and adjust the paths. 2) Audit bundled SDK files (the large Dobot files) for license/behavioral concerns. 3) Run the code in an isolated environment (air-gapped or isolated VM) and avoid connecting to production robots until you test safely. 4) Check for any unexpected outbound network activity (telemetry, hardcoded external endpoints) during a controlled run. 5) Verify that any test/example scripts with hardcoded IPs are updated to your lab devices before connecting, and follow physical safety procedures when commanding motors. If you want, I can list the files that overwrite local paths and show the exact lines to review next.
Capability Analysis
Type: OpenClaw Skill
Name: openclaw-robot-skills
Version: 1.0.4
The skill bundle is a comprehensive and well-documented collection of robotics control interfaces for OMRON TM, JAKA, and DOBOT collaborative robots. It includes official SDKs, custom wrappers, and diagnostic scripts (e.g., tm_robot.py, dobot_api.py, jaka_skill.py). All network activity is directed toward the robot's local IP address via sockets or HTTP (port 22000 for DOBOT alarms) for legitimate control and telemetry purposes. No evidence of data exfiltration, malicious execution, or prompt injection was found; the included 'fix' scripts and PDF extraction utilities appear to be standard development artifacts.
Capability Assessment
Purpose & Capability
Name/description, SKILL.md and the many Python modules (tm-robot, jaka-robot, dobot-robot) align: they implement socket connections, SVR/SCT parsing, motion APIs and test scripts for cobots. Network sockets and vendor SDKs are expected for this purpose.
Instruction Scope
The runtime SKILL.md is scoped to connecting to robots and running example/test scripts. However the package includes utility scripts (fix_all.py, fix_indent.py, fix_parser.py) that open and rewrite files using absolute local paths (e.g., C:/Users/JMO/.openclaw/...), which go beyond simple device control. Those scripts could modify repository files on disk if executed; review before running. Many test scripts also perform network connections to hardcoded IPs (192.168.x.x) — expected but be aware of where they connect.
Install Mechanism
No install spec is provided (instruction-only for the platform). All code is bundled in the submission rather than downloaded at install time, so there's no remote installation URL to evaluate. Bundling of a large official Dobot SDK is expected for DOBOT support but increases review surface.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The behavior (opening sockets to robot IPs, using vendor SDKs) matches the stated purpose. There are no unexpected or unrelated credential requests in metadata.
Persistence & Privilege
Flags show always:false and standard autonomy allowed. The package does not request persistent platform privileges or attempt to modify other skills' configs in the provided files. Some helper scripts modify local files in-place, but they target the skill's own files (albeit with absolute paths) rather than global agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openclaw-robot-skills - After installation, invoke the skill by name or use
/openclaw-robot-skills - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
Major update: Added DOBOT robot support and restructured skill packages.
- Introduced DOBOT robot skill with documentation, SDK examples, and tests.
- Replaced "jaka-robotics-control" with updated "jaka-robot" module.
- Unified API improved, now covers TM, JAKA, and DOBOT robots.
- Updated all documentation to reflect new structure and expanded functionality.
- Enhanced testing and setup instructions for all supported robots.
v1.0.3
Initial versioning and repository setup for openclaw-robot-skills.
- Added 127 files for full project initialization, including complete .git repository data.
- No changes in functionality or documentation content.
- Prepared repository for version control and future collaborative development.
v1.0.2
- Migrated to an OpenClaw unified multi-brand robotics API framework.
- Added 104 new files including updated documentation, binaries, and test scripts.
- Reorganized and expanded documentation to describe unified APIs for multiple robot brands.
- Old standalone files (example_linear.py, jaka_cmd.py, jaka_skill.py) removed in favor of modular, brand-agnostic structure.
- JAKA Robotics Control skill now integrates as a subskill under a consistent interface, enabling compatibility and extension.
工业机器人/协作机器人控制技能 - 用统一的 API 控制所有品牌!
✅ 已支持品牌:
- OMRON TM (协作机器人)
- JAKA (协作机器人)
🚀 即将支持:
- ABB (工业机器人)
- FANUC (工业机器人)
- KUKA (工业机器人)
- Yaskawa (工业机器人)
✨ 特点:
- 统一 API,一个接口控制所有品牌
- 支持协作机器人和工业机器人
- 现场测试通过,生产就绪
One API to Rule Them All! 🤖
Metadata
Frequently Asked Questions
What is 工业机器人控制技能 - 协作机器人统一 API?
通过统一API支持OMRON TM和JAKA协作机器人,实现连接、状态监控、关节及路径运动、安全控制和IO操作。 It is an AI Agent Skill for Claude Code / OpenClaw, with 151 downloads so far.
How do I install 工业机器人控制技能 - 协作机器人统一 API?
Run "/install openclaw-robot-skills" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 工业机器人控制技能 - 协作机器人统一 API free?
Yes, 工业机器人控制技能 - 协作机器人统一 API is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 工业机器人控制技能 - 协作机器人统一 API support?
工业机器人控制技能 - 协作机器人统一 API is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 工业机器人控制技能 - 协作机器人统一 API?
It is built and maintained by Robot_Qu (@qujingyang28); the current version is v1.0.4.
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