AI Analysis
Final verdict: SAFE
The package AtomPacker v0.6.0 presents minimal risks based on the analysis. It does not engage in any network calls, shell executions, or credential harvesting, and there's no evidence of code obfuscation.
- Low risk across all categories
- Maintainer has only one package, slightly increasing metadata risk
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function properly.
- Shell: No shell execution detected, indicating no immediate risk of unauthorized system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, suggesting they may be new or less active, but no other red flags are present.
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
Repository cnpem/AtomPacker appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Gabriel E. Jara, Rick H. Hokama, György Szalóki" 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 AtomPacker
Develop a fully-functional mini-application that leverages the AtomPacker Python package to simulate and visualize the packing of nanoclusters into supramolecular cages. Your application should allow users to input parameters such as the size and composition of the nanoclusters, as well as the cage structure, and then generate visual representations of the packing process. Here’s a detailed step-by-step guide on what your application should include: 1. **User Interface**: Create a simple yet intuitive user interface where users can input the necessary parameters. This includes fields for specifying the number of nanoclusters, their sizes, compositions, and the type of supramolecular cage. 2. **Parameter Validation**: Ensure that the inputs provided by the user are valid and within acceptable ranges. For instance, check if the cage dimensions can accommodate the specified number of nanoclusters. 3. **Simulation Engine**: Utilize AtomPacker to simulate the packing process based on the user-defined parameters. This involves calling functions from the AtomPacker library to calculate optimal placements and orientations of the nanoclusters within the cage. 4. **Visualization Module**: Implement a visualization module that generates 3D models or animations of the packed structures. Users should be able to rotate, zoom, and pan these models to inspect different angles and perspectives. 5. **Export Functionality**: Allow users to export the simulation results in various formats such as PNG, SVG, or even 3D file formats like STL or OBJ for further analysis or printing. 6. **Documentation and Help Section**: Provide comprehensive documentation explaining how each feature works, along with examples and tutorials. Include a help section within the application where users can find answers to common questions and troubleshooting tips. Suggested Features: - Interactive sliders for adjusting parameters in real-time without needing to re-run the entire simulation. - Predefined templates for common types of nanoclusters and cages to simplify setup. - Advanced settings for users who want more control over the simulation details, such as collision detection thresholds and packing algorithms. - Integration with external data sources for importing custom nanocluster designs and cage structures. Remember to thoroughly test your application across different scenarios to ensure robustness and reliability.