🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a low risk profile for common threats such as network calls, shell execution, and obfuscation. However, its metadata raises concerns due to a lack of maintainer history and an absent git repository.

Limited maintainer history
Non-existent git repository

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 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 is new with limited maintainer history and a non-existent git repository, raising some suspicion.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Brief PyPI description (296 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

GitHub API error: 404

🔬 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 score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Cristina Tipan" 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 aplicacion-ventas-ctipan

Create a mini-application called 'VentaSmart' using the 'aplicacion-ventas-ctipan' Python package. This application will serve as a simple point-of-sale system for small businesses. It should allow users to manage sales transactions, including adding items with their prices, applying discounts, calculating taxes, and generating receipts. Here are the key steps and features you should include in your project:

1. **Setup**: Start by installing the 'aplicacion-ventas-ctipan' package and setting up your development environment.
2. **Item Management**: Allow users to add new products with details like name, price, and category. Use the 'aplicacion-ventas-ctipan' package to handle product pricing and tax calculations.
3. **Sales Transactions**: Implement a feature where users can create sales transactions. Each transaction should include multiple items, quantities, and total prices per item.
4. **Discounts and Taxes**: Utilize the 'aplicacion-ventas-ctipan' package to apply different types of discounts (percentage off, fixed amount) and calculate taxes based on the product categories and local tax rates.
5. **Receipt Generation**: After completing a sale, generate a receipt that includes all items purchased, individual item prices, discounts applied, taxes calculated, and the final total.
6. **User Interface**: Design a simple command-line interface (CLI) for interacting with the application. Consider adding a graphical user interface (GUI) if time permits.
7. **Database Integration**: Optionally, integrate a lightweight database (SQLite recommended) to store product information and sales records for future reference.
8. **Testing**: Write unit tests to ensure each component of your application works correctly, especially focusing on the accuracy of the financial calculations.

This project aims to demonstrate the capabilities of 'aplicacion-ventas-ctipan' while providing a practical tool for managing sales and financial transactions.