AI Analysis
Final verdict: SAFE
The package has minimal risks with no network calls, shell executions, or obfuscations detected. The metadata risk slightly increases due to incomplete author information.
- No network calls
- Incomplete author information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The author's information is lacking, indicating potential lack of transparency or newness.
Package Quality Overall: Medium (6.0/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
1 test file(s) detected (e.g. test_robocore_v250_compatibility.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (3638 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
86 type-annotated function signatures detected in source
✦ High
Multiple Contributors
10.0
Active multi-contributor project
8 unique contributor(s) across 100 commits in Synria-Robotics/Alicia-D-SDKActive community — 5 or more distinct contributors
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: synriarobotics.ai>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Synria-Robotics/Alicia-D-SDK appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with alicia-d-sdk
Create a Python-based mini-application called 'Alicia-D Workshop' that leverages the 'alicia-d-sdk' package to control a Synria Robotics Alicia-D series robotic arm. This application should serve as both a demonstration of the SDK's capabilities and a user-friendly interface for experimenting with basic and advanced robotic arm movements.
**Step-by-Step Functionality:**
1. **Initialization & Connection**: Upon launching the app, it should automatically detect and connect to an Alicia-D robotic arm. If multiple arms are detected, users should be prompted to select one.
2. **Basic Movements**: Implement buttons or commands for basic movements such as moving the arm to predefined positions ('home', 'up', 'down', 'left', 'right'). Each movement should be smooth and visually confirmed on a graphical interface if possible.
3. **Path Planning**: Allow users to create custom paths for the robotic arm to follow. Users should be able to specify waypoints and visualize the path before execution.
4. **Grasping Simulation**: Integrate a simple grasping simulation where the arm can pick up and move objects from one location to another. Objects could be represented as virtual items on the screen.
5. **Advanced Controls**: Provide options for more precise control over the arm, such as adjusting speed, force, and torque limits during operation.
6. **Logging & Feedback**: Implement logging functionality to record the arm's movements and feedback mechanisms to inform users about the success or failure of each command.
7. **User Interface**: Design a clean and intuitive GUI using a library like PyQt or Tkinter to make the app accessible and easy to use.
**Suggested Features:**
- Real-time status updates and error handling.
- Support for saving and loading custom movement sequences.
- Integration with ROS (Robot Operating System) for those familiar with robotics environments.
- Option to switch between different modes of operation (e.g., manual control vs. pre-programmed routines).
**Utilization of 'alicia-d-sdk':**
The 'alicia-d-sdk' package will be central to this application, providing the necessary functions to initialize the connection to the robotic arm, send movement commands, and receive feedback from the arm's sensors. Users will interact with these functions through the graphical interface you design, making complex robotic operations accessible to a wider audience.