🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity or unnecessary risks. It has a low metadata risk due to being new and lacking additional information, but this alone does not indicate any harmful intentions.

No network calls detected
No shell execution detected
No obfuscation or credential risk detected

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
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 package appears to be new and lacks a GitHub repository, but there are no clear signs of malicious intent based on the provided signals.

🔬 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 4.0

2 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Joseb Huillca Pichihua" 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 AppVenta

Your task is to develop a simple yet functional sales management application using the Python package 'AppVenta'. This application will serve as a tool for managing sales transactions, including calculating prices, handling taxes, and applying discounts. Here’s a detailed guide on how to proceed:

1. **Project Setup**: Start by setting up your development environment. Ensure you have Python installed and create a virtual environment for this project. Install the 'AppVenta' package using pip.

2. **Application Structure**: Design a basic structure for your application. It should include modules for handling sales transactions, calculating final prices, and generating reports.

3. **Core Features**:
   - **Sales Transactions**: Allow users to add new sales entries, including product details, quantities, and unit prices.
   - **Tax Calculation**: Implement functionality to calculate taxes based on predefined tax rates for different products or regions.
   - **Discount Application**: Provide options to apply discounts either as a percentage off the total price or a fixed amount.
   - **Final Price Calculation**: Use 'AppVenta' to calculate the final price after applying taxes and discounts.

4. **User Interface**: Develop a simple command-line interface (CLI) for interacting with the application. The CLI should allow users to perform operations like adding sales entries, viewing transaction history, and generating reports.

5. **Testing**: Write test cases to ensure each feature works as expected. Test edge cases such as zero quantity sales, negative discounts, and various tax scenarios.

6. **Documentation**: Prepare documentation explaining how to install the application, use its features, and troubleshoot common issues.

7. **Deployment**: Package your application for easy deployment. Consider creating a Docker image if you plan to deploy it on a server.

Remember, the key to this project is effectively utilizing the 'AppVenta' package to handle complex financial calculations while providing a user-friendly interface.