🤖 AI Analysis

Final verdict: SAFE

The package has minimal risk indicators with no network or shell risks, and while the metadata quality is low, there are no clear signs of malicious activity.

No network or shell risks detected
Low metadata quality but no suspicious activity

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network functionality.
Shell: No shell execution detected, indicating no direct system command execution.
Metadata: The package shows signs of low activity and metadata quality, but no clear indicators of malicious intent.

🔬 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Mendeku" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with Mendeku

Create a fully functional mini-application called 'Mendeku Manager' that leverages the Python package 'Mendeku'. This application will serve as a tool to manage and manipulate collections of items, such as books, movies, or music albums, using the unique functionalities provided by 'Mendeku'. Here’s a step-by-step guide on how to develop this application:

1. **Setup and Installation**: Begin by setting up a virtual environment for your project. Install the 'Mendeku' package along with any other necessary dependencies.
2. **Core Functionality**: Use 'Mendeku' to define classes or functions that can add, remove, update, and retrieve items from a collection. Each item should have attributes like title, author/artist, release date, and genre.
3. **Database Integration**: Integrate 'Mendeku' with a database system (such as SQLite) to persistently store and manage the collection data. Ensure that operations like adding, removing, and updating items reflect changes in the database.
4. **User Interface**: Develop a simple command-line interface (CLI) for users to interact with the 'Mendeku Manager'. Users should be able to perform actions like listing all items, searching for specific items, and managing their personal collection.
5. **Advanced Features**: Implement advanced features using 'Mendeku', such as sorting items by different criteria (e.g., alphabetical order, release date), filtering items based on genre or year, and generating reports or statistics about the collection.
6. **Testing**: Write tests for each functionality to ensure that the application works correctly under various scenarios. Utilize 'Mendeku' to simulate complex interactions with the database.
7. **Documentation**: Provide comprehensive documentation explaining how to install, use, and extend the 'Mendeku Manager'. Include examples and best practices for integrating 'Mendeku' into larger projects.

Throughout the development process, focus on utilizing 'Mendeku' to its full potential, showcasing its capabilities in handling complex data structures and providing robust management tools.