AI Analysis
The package exhibits low risk in terms of network, shell execution, and obfuscation, but its low maintainer activity and lack of basic metadata raise concerns about potential malicious intent or abandonment.
- Low maintainer activity
- Lack of basic metadata
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function properly.
- 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 package shows low maintainer activity and lacks basic metadata, indicating potential low effort or malicious intent.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application named 'ServiceInspector' that leverages the 'anip-studio' package to provide a user-friendly interface for monitoring and managing various ANIP services. This application should allow users to connect to different ANIP service endpoints, view real-time status updates, and perform basic management tasks such as restarting services or viewing logs. The application will be built using Python and should include a graphical user interface (GUI) for ease of use. Key Features: - User authentication for secure access to service endpoints. - A dashboard displaying the status of all connected services. - Detailed views for each service showing specific metrics and logs. - Buttons or commands to restart services and clear logs. - Notifications for critical events or service outages. Steps to Build the Application: 1. Set up a Python environment and install the 'anip-studio' package. 2. Design the GUI layout using a library like Tkinter or PyQt. 3. Implement the connection logic to authenticate and establish a session with ANIP services. 4. Create widgets for displaying service statuses and other relevant information. 5. Add functionality to refresh data periodically to ensure real-time updates. 6. Integrate buttons and commands for management actions. 7. Test the application thoroughly with different ANIP services and scenarios. 8. Package the application for distribution. Utilization of 'anip-studio': - Use 'anip-studio' to embed the inspection UI within your application, providing a seamless experience for users. - Leverage the package's features to handle the complexities of connecting to and managing ANIP services, allowing you to focus on building the user interface and additional functionalities.
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