🤖 AI Analysis

Final verdict: SAFE

The package AxiomX has minimal risks as it does not engage in any network calls, shell executions, or obfuscation techniques. The metadata risk is slightly elevated due to low effort indicators and lack of community involvement, but this alone is insufficient to classify it as suspicious or malicious.

Low metadata quality
No network or shell interactions

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 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 shows some low-effort indicators and lack of community involvement, raising minor suspicion.

🔬 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 4.0

2 maintainer concern(s) found

Author "Eric Joseph" 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 AxiomX

Your task is to develop a fully-functional mini-app called 'MathMaster' using the Python package 'AxiomX'. This app will serve as an advanced calculator for both students and professionals, providing a wide range of mathematical operations and analyses. The app should be user-friendly, allowing users to input expressions and receive results in real-time. Here’s a detailed breakdown of what the application should do and how you can utilize 'AxiomX':

1. **User Interface**: Design a simple yet elegant command-line interface where users can input their mathematical expressions.
2. **Basic Arithmetic Operations**: Implement addition, subtraction, multiplication, division, and modulus operations using 'AxiomX'. Ensure these operations handle floating-point numbers accurately.
3. **Advanced Mathematical Functions**: Use 'AxiomX' to implement more complex functions such as trigonometric (sine, cosine, tangent), logarithmic, exponential, and power functions.
4. **Equation Solving**: Develop a feature within MathMaster that can solve linear equations (one variable) and quadratic equations (two variables). Utilize 'AxiomX' to perform the necessary calculations.
5. **Graphing Capabilities**: Although 'AxiomX' does not directly support graphing, you can use its calculation capabilities to generate data points which can then be plotted using a third-party library like matplotlib. Users should be able to plot basic graphs like line graphs and bar charts.
6. **Custom Functionality**: Allow users to define custom mathematical functions using 'AxiomX', which can then be evaluated and used in further calculations.
7. **History Feature**: Maintain a history of all calculations performed by the user, allowing them to review past computations easily.
8. **Error Handling**: Implement robust error handling to manage incorrect inputs and provide meaningful error messages to the user.
9. **Documentation and Help**: Include a help section within the app that explains each function provided by 'AxiomX' and how to use them effectively.

To achieve these functionalities, extensively utilize the core features of 'AxiomX' including but not limited to its arithmetic, algebraic, and calculus operations. Ensure that your implementation is efficient and scalable, capable of handling large datasets and complex expressions.