🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk in terms of network calls, shell execution, obfuscation, and credential handling. However, the metadata risk is slightly elevated due to the maintainer's limited presence and transparency.

No network calls or shell executions detected
Maintainer has only one package and no GitHub repo

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 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 and lacks a GitHub repository, which may indicate less transparency and community support.

🔬 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: gmail.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 "AndiEcker" 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 ae-console

Create a mini-application called 'AE Log Manager' that leverages the Python package 'ae-console' to manage log files in a user-friendly way. This application will serve as a console-based tool where users can view, search, and manage their log files efficiently.

### Key Features:
1. **Log File Viewer**: Allow users to view the content of log files from different directories. Users should be able to specify which directory they want to look into.
2. **Search Functionality**: Implement a feature where users can search for specific keywords or patterns within the log files. This will help in quickly finding relevant information.
3. **Filtering Options**: Provide options to filter logs based on time ranges, severity levels (e.g., INFO, ERROR, WARNING), or custom criteria.
4. **Log Management Actions**: Enable basic management actions such as deleting logs, archiving them, or exporting selected logs to a CSV file.
5. **User Interface**: Develop a clean and intuitive command-line interface using the 'ae-console' package to make it easy for users to navigate through the application's functionalities.

### Utilization of 'ae-console':
- Use the 'ae-console' package to set up and manage the console environment, including handling user inputs, displaying outputs, and managing errors gracefully.
- Leverage any specific functionalities provided by 'ae-console' to enhance the user experience and ensure robustness in handling various input scenarios.

### Steps to Build the Application:
1. **Setup Environment**: Install Python and the 'ae-console' package.
2. **Design UI/UX**: Sketch out how the application will look and feel, focusing on simplicity and efficiency.
3. **Implement Core Functions**: Start coding the main functionalities, ensuring each feature is well-integrated and tested individually.
4. **Integrate 'ae-console'**: Integrate the 'ae-console' package to handle console interactions, making sure the application is user-friendly and error-proof.
5. **Testing & Debugging**: Thoroughly test the application with various scenarios to ensure reliability and performance.
6. **Documentation**: Write clear documentation explaining how to install and use the application, including any troubleshooting tips.