AI Analysis
The package exhibits very low risk across all categories, with no network calls, shell executions, or obfuscations observed. The only elevated concern is the minimal metadata suggesting it's newly created, but without additional context indicating malicious behavior, it cannot be conclusively labeled as suspicious.
- Minimal metadata suggesting new creation
- No network calls, shell executions, or obfuscations
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being newly created with minimal metadata, but there are no clear indicators of malicious intent.
Package Quality Overall: Low (3.0/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
68 type-annotated function signatures detected in source
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: phys.au.dk>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Mads-Peter" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based mini-application named 'AtomForge Workshop' that serves as an interactive platform for users to experiment with molecular structures using the 'atomforge-runtime' package. This application should allow users to input basic molecular data (such as atoms and bonds) and visualize these structures in real-time. Additionally, the app should provide tools for users to manipulate these molecular structures, such as adding or removing atoms and bonds, adjusting bond lengths, and rotating the structure for different viewing angles. Key Features: 1. User Interface: Develop a simple yet intuitive GUI using a library like Tkinter or PyQt. 2. Molecular Data Input: Allow users to input molecular data either manually or through predefined templates. 3. Real-Time Visualization: Use the 'atomforge-runtime' package to render and display molecular structures in real-time as the user inputs or modifies the data. 4. Manipulation Tools: Implement functionalities to add/remove atoms and bonds, adjust bond lengths, and rotate the molecular structure for various perspectives. 5. Save and Load: Enable users to save their molecular designs and load them back into the application for further editing. 6. Educational Content: Include brief explanations about each feature and its impact on molecular structure. How to Utilize 'atomforge-runtime': - For rendering molecular structures, you will use the visualization capabilities provided by the 'atomforge-runtime' package. Ensure that the package is properly installed and imported at the beginning of your script. - Explore the documentation of 'atomforge-runtime' to understand how to create and modify molecular structures programmatically. - Integrate the rendering functionality into your application's GUI so that changes made by the user are immediately reflected in the visual representation of the molecule. This project aims to not only demonstrate the capabilities of the 'atomforge-runtime' package but also to provide a valuable tool for educational purposes, allowing users to gain hands-on experience with molecular structures.
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