🤖 AI Analysis

Final verdict: SAFE

The package Spectral-BLDC v1.19 poses minimal risk as it shows no signs of malicious activity such as network calls, shell execution, obfuscation, or credential harvesting. The slight increase in metadata risk due to the maintainer having only one package does not significantly alter this conclusion.

No network calls
No shell execution
No obfuscation
No credential harvesting
Single package by maintainer

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package, which might indicate a new or less active account, but there are no other red flags.

🔬 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: source-robotics.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Source robotics (Petar Crnjak)" 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 Spectral-BLDC

Develop a Python-based application that leverages the Spectral-BLDC package to control a BLDC motor for a robotic arm. Your task is to create a user-friendly GUI application where users can input various parameters such as motor speed, direction, and torque. Additionally, implement real-time monitoring of the motor's performance metrics like RPM, temperature, and voltage. The application should also include a feature to save and load different configurations for quick setup of common tasks.

Key Features:
- User Interface: Design an intuitive GUI using Tkinter or PyQt that allows users to set motor parameters.
- Motor Control: Use the Spectral-BLDC package to send commands to the motor based on user inputs.
- Real-Time Monitoring: Display live data from the motor including RPM, temperature, and voltage.
- Configuration Management: Implement functionality to save and load motor settings.

Steps to Develop the Application:
1. Set up your development environment with Python and install the Spectral-BLDC package.
2. Create a GUI layout using Tkinter or PyQt that includes input fields for motor parameters and buttons to execute commands.
3. Integrate the Spectral-BLDC package to establish communication with the BLDC motor controller.
4. Implement functions within your application to send control signals to the motor according to user inputs.
5. Add real-time data acquisition from the motor using Spectral-BLDC’s capabilities and display this information in your GUI.
6. Develop a system to store and retrieve motor configurations from a file.
7. Test your application thoroughly under various conditions to ensure reliability and accuracy.
8. Document your code and provide instructions for setting up and using the application.