AI Analysis
Final verdict: SAFE
The package AtomicAI v0.4.0 shows very low risks across all checked categories with no network calls, shell executions, obfuscations, or credential harvesting activities. The metadata risk is slightly elevated due to the maintainer's limited package history.
- No network calls detected
- No shell execution patterns detected
- Maintainer has only one package
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which could indicate a new or less active account.
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 selvachandrasekaranselvaraj/AtomicAI appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Selva Chandrasekaran Selvaraj" 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 AtomicAI
Create a Python-based mini-application named 'MolecularExplorer' that allows users to visualize and analyze molecular structures using the AtomicAI package. This application should enable users to input molecular structures in various formats (e.g., .xyz, .pdb), process these structures to extract key information such as bond lengths, angles, and dihedral angles, and then visualize these structures in 3D. Additionally, the app should feature tools to calculate molecular properties like the radius of gyration and surface area, which can be useful for understanding the physical properties of molecules. Users should also be able to manipulate the visualized structures through rotation, zooming, and translation within the application interface. The main steps for building this application include: 1. Setting up the project environment and installing AtomicAI. 2. Creating a user-friendly interface using a library like PyQt5 for inputting molecular data and displaying results. 3. Implementing functions to read molecular files into memory and parse them into usable data structures. 4. Utilizing AtomicAI to process the molecular structures, including calculating geometric properties and generating features that describe the structure. 5. Integrating a 3D visualization component that allows users to interactively view and manipulate the molecular structures. 6. Adding functionality to compute and display additional molecular properties based on the processed data. 7. Testing the application thoroughly to ensure all components work correctly and efficiently. By following these steps, you'll create a powerful yet accessible tool for exploring and understanding molecular structures.