AI Analysis
Final verdict: SAFE
The ForgeFF package exhibits minimal risk across all assessed categories, with no indications of malicious activity or network/shell interactions. However, the novelty and lack of activity in the repository slightly elevate the metadata risk.
- No network calls detected
- Repository is new and inactive
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 patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The repository is new and inactive, with low visibility indicators, which may suggest potential risk but lacks clear malicious intent signals.
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 "Pranav Kumar" 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 ForgeFF
Create a molecular simulation tool called 'MolSim' using the Python package 'ForgeFF'. This tool aims to simulate the behavior of molecules under various conditions by utilizing semi-empirical potentials for accurate predictions. Your task is to develop a user-friendly command-line interface (CLI) application that allows users to input molecular structures and conditions, then runs simulations based on these inputs. Key Features: 1. **Molecule Input**: Users should be able to upload or input molecular structures in common formats like SMILES, PDB, or XYZ. 2. **Simulation Parameters**: Allow users to specify parameters such as temperature, pressure, and time steps for the simulation. 3. **Visualization**: Integrate a simple visualization component that displays the molecular structure and its evolution over time. 4. **Output Data**: Provide options for exporting simulation results in various formats (CSV, JSON, etc.) and visualizing them through plots or graphs. 5. **Documentation**: Ensure comprehensive documentation is available both within the codebase and as external README files. Utilization of 'ForgeFF': - Use 'ForgeFF' for defining and applying the semi-empirical potentials necessary for the simulation. This includes fitting the potential energy surfaces based on experimental data or theoretical calculations provided by the user. - Implement functions that leverage 'ForgeFF' to optimize the molecular dynamics calculations, ensuring accuracy and efficiency. - Include examples in the documentation demonstrating how different potentials affect the simulation outcomes. Your goal is to create a tool that not only serves as a practical application but also showcases the capabilities of 'ForgeFF' in simulating molecular systems.