🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risk in terms of network, shell, and obfuscation activities but has incomplete metadata and lacks an associated GitHub repository, raising concerns about its reliability and maintenance.

Incomplete maintainer information
No associated GitHub repository

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell executions detected, indicating no direct system command execution.
Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating no immediate risk of secret theft.
Metadata: The package has no associated GitHub repository and the maintainer's information is incomplete, suggesting potential unreliability.

🔬 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: listas.cimne.upc.edu>

✓ 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 name is missing or very short
Author "" 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 KratosOptimizationApplication

Develop a mini-application named 'StructuralOptimizer' that leverages the KratosOptimizationApplication Python package to optimize structural designs. This application will enable users to input basic parameters of a structure (such as material type, dimensions, load conditions), and then use KratosOptimizationApplication to simulate and optimize the design for maximum strength while minimizing material usage. The goal is to create a user-friendly interface where non-experts can input their requirements and receive optimized design solutions quickly and efficiently.

Core Features:
- User Input Interface: Allow users to specify the type of material, dimensions of the structure, and the expected loads it will face.
- Simulation Engine: Utilize KratosOptimizationApplication to perform simulations based on the input parameters. Optimize the structure for maximum strength under given constraints.
- Visualization Tools: Provide visual representations of the initial and optimized structures, highlighting changes made during optimization.
- Report Generation: Automatically generate reports summarizing the optimization process and final results, including any trade-offs between strength and material usage.

How to Use KratosOptimizationApplication:
1. Integrate KratosOptimizationApplication into your project by installing it via pip or directly from its GitHub repository if necessary.
2. Create a function that takes user inputs and converts them into a format compatible with KratosOptimizationApplication.
3. Use KratosOptimizationApplication's optimization modules to run simulations and optimizations based on these inputs.
4. Parse the output from KratosOptimizationApplication to extract key data points about the optimized design.
5. Implement visualization tools using matplotlib or similar libraries to display the optimized structure alongside the original one.
6. Develop a reporting system that compiles all relevant information into a comprehensive report, providing insights into the optimization process and final outcomes.