AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low risks in terms of network calls, shell execution, obfuscation, and credential harvesting. However, its metadata indicates potential unreliability due to lack of maintainer history and low-effort indicators.
- Low metadata reliability
- Lack of maintainer history
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external communications.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activities.
- Obfuscation: No obfuscation patterns detected, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some low-effort indicators and lacks a maintainer history, 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: geode-solutions.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with Geode-Hybrid
Create a Python-based mini-application that leverages the 'Geode-Hybrid' package to perform hybrid remeshing on 3D models. This application will allow users to upload a 3D model file (such as STL or OBJ format), apply various remeshing algorithms provided by the 'Geode-Hybrid' package, and visualize the remeshed model in real-time. Additionally, the app should provide options for adjusting parameters such as target edge length, remeshing density, and smoothing iterations to fine-tune the output. Key Features: 1. User-friendly GUI for file upload and parameter adjustment. 2. Real-time visualization of the remeshing process. 3. Save the remeshed model in various formats. 4. Detailed documentation explaining the usage of 'Geode-Hybrid' functions and classes. 5. Integration of additional functionality like mesh repair and optimization. Steps to Implement: 1. Set up a Python environment with all necessary packages installed, including 'Geode-Hybrid'. 2. Develop a graphical user interface using a toolkit like PyQt or Tkinter. 3. Implement file handling functions to load and save 3D model files. 4. Integrate 'Geode-Hybrid' functionalities to enable different types of remeshing operations. 5. Add real-time visualization capabilities to display the model before and after remeshing. 6. Include adjustable parameters in the GUI for customization of remeshing processes. 7. Document the codebase thoroughly, providing examples and explanations of how 'Geode-Hybrid' is utilized.