AI Analysis
The package shows minimal risks in terms of network usage, shell execution, obfuscation, and credential handling. However, the metadata risk score is high due to the newness of the repository and limited maintainer history, raising concerns about potential supply-chain attacks.
- High metadata risk due to new repository and limited maintainer history
- Otherwise, the package exhibits low risk in other categories
Per-check LLM notes
- Network: No network calls detected, which is normal for a package not requiring external communications.
- Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The repository and package are newly created with minimal maintainer history, indicating potential risk.
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: izusoft.tech>
All external links appear legitimate
Git history flags: Repository created very recently: 4 day(s) ago (2026-06-01T19:52:23Z)
Repository created very recently: 4 day(s) ago (2026-06-01T19:52:23Z)
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a simple yet functional application using the 'aaep-minimal-producer' Python package. Your task is to develop a tool that simulates real-time data transmission for educational purposes, focusing on demonstrating the core functionalities of the package. This application will serve as a basic example of how to use the 'aaep-minimal-producer' package in a practical scenario. Here are the steps and features you need to implement: 1. **Setup**: Begin by installing the 'aaep-minimal-producer' package in your Python environment. Ensure all dependencies are also installed. 2. **Application Structure**: Design a clean and modular application structure. Include modules for data generation, transmission, and possibly logging. 3. **Data Generation**: Implement a module that generates simulated data. This could be simple key-value pairs or more complex structured data depending on the use case you choose. 4. **Transmission Logic**: Utilize the 'aaep-minimal-producer' package to transmit the generated data in real-time. Understand how the package works and adapt its core functions to fit your application's needs. 5. **Real-Time Visualization**: Integrate a simple real-time visualization component (such as a console output or a basic web interface) to display the transmitted data. This helps in understanding the flow and timing of the data transmission. 6. **Error Handling and Logging**: Implement error handling mechanisms and logging to capture any issues during data transmission. This ensures robustness and ease of debugging. 7. **User Interface (Optional)**: If time allows, consider adding a user-friendly interface where users can configure the type of data to generate and view the transmitted data in real-time. 8. **Documentation**: Write clear documentation explaining how to set up and run the application, including how to modify it for different scenarios. The goal is to create a versatile, easy-to-understand application that showcases the capabilities of the 'aaep-minimal-producer' package while being practical and educational.