7dof-pendant

v0.1.2 safe
3.0
Low Risk

Teach pendant GUI for the 7-DOF robotic arm (ROS 2 Humble)

πŸ€– AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, or obfuscation techniques observed. The main concern lies in the low maintainer activity and potential issues with package metadata quality.

  • Low maintainer activity
  • Potential issues with package metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network interaction for its functionality.
  • Shell: No shell executions detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
  • Metadata: Low risk due to lack of suspicious flags, but concerns about low maintainer activity and package metadata quality.

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

No author email provided

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "7-DOF Arm Team" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with 7dof-pendant
Your task is to develop a user-friendly teaching pendant application for a 7-DOF robotic arm using ROS 2 Humble and the '7dof-pendant' package. This application will allow users to easily control the robotic arm through a graphical user interface (GUI), making it accessible even for those without extensive programming experience. Here’s a detailed guide on how to create this application:

1. **Setup Your Environment**: Ensure you have ROS 2 Humble installed and properly configured on your system. Install the '7dof-pendant' package via pip or from its source code repository.

2. **Application Structure**: Design your application to have two main components - a GUI frontend for user interaction and a backend controller that communicates with the robotic arm via ROS 2 topics and services.

3. **Features**:
   - **Movement Control**: Implement buttons or sliders in the GUI to control the movement of each joint of the 7-DOF robotic arm. Use the '7dof-pendant' package to map these controls to ROS 2 commands.
   - **Predefined Positions**: Allow users to save and recall predefined positions for the robotic arm. These positions can be stored as waypoints and loaded back into the robotic arm's control system.
   - **Speed Adjustment**: Provide options to adjust the speed at which the robotic arm moves between points. This feature should be adjustable within the GUI.
   - **Emergency Stop**: Include an emergency stop button that immediately halts all movements when activated.

4. **Integration with 7dof-pendant**: Utilize the '7dof-pendant' package to handle the communication protocols necessary for interfacing with the robotic arm. This includes sending commands to move joints, adjusting speeds, and stopping movements.

5. **Testing**: Before finalizing the application, thoroughly test all functionalities to ensure smooth operation. Pay special attention to safety features like the emergency stop button.

6. **Documentation**: Write clear documentation explaining how to install and use the application. Include examples of common tasks and troubleshooting tips.

This project aims to bridge the gap between complex robotic systems and user-friendly interfaces, making advanced robotics more accessible to a broader audience.