alicia-m-sdk

v1.1.0 suspicious
4.0
Medium Risk

Python SDK for controlling the Alicia M robotic arm.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package appears generally benign with low risks across all checked categories. However, the metadata risk due to the maintainer's new or inactive account and lack of proper author information warrants further investigation.

  • Metadata risk due to maintainer's new or inactive account
  • Lack of proper 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 immediate risk of command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, which raises some suspicion but not enough to definitively label it as malicious.

📦 Package Quality Overall: Low (4.6/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3110 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 126 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-M-SDK
  • Active 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-M-SDK appears legitimate

Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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-m-sdk
Create a Python-based mini-app that enables users to control an Alicia M robotic arm through a simple graphical user interface (GUI). This app will serve as a versatile tool for hobbyists, educational purposes, and basic industrial applications. The goal is to demonstrate the capabilities of the Alicia M robotic arm using the 'alicia-m-sdk' package in an intuitive way.

### Project Scope:
1. **Setup Environment**: Ensure Python 3.x is installed along with the necessary libraries such as tkinter for GUI and 'alicia-m-sdk'.
2. **GUI Design**: Develop a clean, user-friendly GUI that allows users to input commands for the robotic arm. The GUI should include buttons for basic movements (e.g., move up, down, left, right), sliders for precise position control, and checkboxes for different grip states (open, close).
3. **Core Functionality**: Implement functions within the app that translate GUI inputs into commands recognized by the 'alicia-m-sdk'. For example, pressing the 'move up' button should send a command to raise the robotic arm by a specified degree or distance.
4. **Advanced Features** (Optional): Consider adding advanced functionalities like setting waypoints for the robotic arm to follow a predefined path, or integrating voice commands using a speech recognition library.
5. **Testing & Documentation**: Thoroughly test the application to ensure all functionalities work as expected. Document the code and provide instructions on how to set up and use the app.

### Utilization of 'alicia-m-sdk':
- Use the SDK's methods to initialize the connection with the Alicia M robotic arm.
- Leverage the SDK's movement functions to execute commands based on user inputs from the GUI.
- Explore additional SDK features such as feedback loops or sensors if applicable, to enhance the interaction between the user and the robotic arm.

This project aims to showcase the potential of the Alicia M robotic arm while providing a practical learning experience for developers interested in robotics and Python.

💬 Discussion Feed

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