🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe based on the analysis notes provided. There are no detected network calls or shell executions, and the metadata risk is relatively low.

No network calls detected
No shell execution patterns detected
Maintainer has only one package

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution patterns detected, indicating no immediate signs of malicious shell command execution.
Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags were found.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository SimonNGN/SharedPubSub appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Simon Nguyen" 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 SharedPubSub

Create a real-time data monitoring tool using Python that leverages the 'SharedPubSub' package for efficient communication between multiple processes. This tool will be designed to monitor various system metrics such as CPU usage, memory usage, and network traffic. Here’s a detailed plan on how to build this application:

1. **Setup**: Begin by installing the necessary packages including 'SharedPubSub'. Ensure your environment is set up properly to handle multi-process communication.
2. **Design**: Design the architecture of your application where you have separate processes for collecting data (Publisher), and another for displaying the collected data (Subscriber).
3. **Data Collection Process (Publisher)**: Implement a process that continuously collects system metrics. Use the 'SharedPubSub' package to publish these metrics to a shared topic.
4. **Data Display Process (Subscriber)**: Develop a process that subscribes to the same topic used by the Publisher. This process should efficiently retrieve and display the latest system metrics in a user-friendly manner.
5. **Enhancements**: Consider adding features like logging of historical data, alerts when certain thresholds are exceeded, and a graphical user interface for better visualization.
6. **Testing**: Test the application thoroughly under different conditions to ensure reliability and efficiency.
7. **Documentation**: Write comprehensive documentation detailing how each part of the application works, how to install and run it, and any limitations or known issues.

By following these steps, you'll create a powerful and versatile tool that demonstrates the capabilities of the 'SharedPubSub' package.