🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in network and shell execution but has a moderate metadata risk due to low activity and a new maintainer. This combination warrants further scrutiny.

Low network and shell risk
Moderate metadata risk due to low activity and new maintainer

Per-check LLM notes

Network: No network calls detected, which is normal for a math package.
Shell: No shell execution detected, indicating no immediate risk from command execution.
Metadata: Low activity and new maintainer suggest potential risk, but no clear malicious indicators.

🔬 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 score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Artur Foden" 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 afmaths

Create a fully-functional mini-application called 'MathMaster' using Python that leverages the 'afmaths' package to provide advanced mathematical capabilities to users. This application will serve as a user-friendly interface for performing complex mathematical operations that would otherwise require extensive knowledge of mathematics. The app should include a graphical user interface (GUI) built using Tkinter for ease of use. Here’s a detailed breakdown of what MathMaster should do:

1. **Application Overview**: MathMaster should allow users to input mathematical expressions and equations and then perform operations on them. It should support various mathematical functions including but not limited to trigonometric functions, logarithms, exponentials, and more.
2. **Features**:
   - **Expression Input**: Users should be able to type in mathematical expressions directly into the GUI.
   - **Operation Selection**: After entering an expression, users can select from a dropdown menu the type of operation they wish to perform (e.g., solve, simplify, differentiate, integrate).
   - **Result Display**: The result of the selected operation should be displayed in a designated area within the GUI.
   - **History Feature**: Maintain a history of all previous calculations performed by the user, allowing them to review past inputs and results.
3. **Utilizing 'afmaths' Package**:
   - Use the 'afmaths' package to handle the mathematical computations behind the scenes. For instance, if a user wants to differentiate an equation, the app should use 'afmaths' to compute the derivative and display the result.
   - Ensure that the package is properly imported at the beginning of your Python script and that its functionalities are well-documented in your code comments.
4. **Implementation Steps**:
   - Start by setting up a basic Tkinter window with entry fields for mathematical expressions and buttons for different operations.
   - Integrate 'afmaths' functions into the backend logic of the application to process the entered expressions according to the user’s selection.
   - Implement a feature to store and retrieve calculation history using a local file or database.
   - Test the application thoroughly to ensure it handles all types of valid and invalid inputs gracefully.
5. **Enhancements**:
   - Consider adding graphing capabilities to visualize the results of certain operations like plotting functions or derivatives.
   - Allow users to save their work or export the history to a file format like CSV.
6. **Documentation**:
   - Write clear documentation explaining how to install the required packages, run the application, and understand its functionality.
7. **Submission Requirements**:
   - Submit the complete source code of your application, including all necessary files and dependencies.
   - Provide a README file detailing the setup process, usage instructions, and any additional notes about the implementation.