AI Analysis
Final verdict: SUSPICIOUS
The package shows low individual risks but raises concerns due to the metadata risk and the lack of an associated GitHub repository for a new or inactive account.
- Metadata risk due to a new or inactive account
- No associated GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has a new or inactive account and no associated GitHub repository, which raises some concerns.
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
score 3.0
Suspicious email domain flags: Very short email domain: qq.com
Very short email domain: qq.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "shiroko" 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 Creation-module
Your task is to develop a fully-functional mini-app called 'ModuleMaster' which will streamline the process of converting Python scripts into reusable modules. This app will not only help developers save time but also ensure their code is neatly organized and follows best practices. ### Features: - **Script Input**: Allow users to upload a Python script file (.py). - **Conversion Process**: Use the 'Creation-module' package to automatically convert the uploaded script into a standard Python module. - **Code Optimization**: Implement basic code optimization techniques such as variable renaming, function refactoring, and docstring generation to improve readability and maintainability. - **Version Control Integration**: Integrate with Git to allow users to commit the newly created module directly to their repository. - **Documentation Generation**: Automatically generate documentation for the new module using tools like Sphinx or similar. - **User Interface**: Develop a simple and intuitive web-based UI where users can interact with the app. ### How to Utilize 'Creation-module': - After the user uploads a Python script, use 'Creation-module' to handle the conversion process. Ensure that all necessary steps for transforming a standalone script into a proper module (e.g., adding a __init__.py file, organizing imports, etc.) are automated. - Leverage 'Creation-module's capabilities to enhance the quality of the converted module, ensuring it adheres to PEP 8 guidelines and other best practices. - Provide feedback to the user on the status of the conversion process and any issues encountered during the transformation. ### Additional Considerations: - Ensure that the app supports multiple file formats and handles errors gracefully. - Offer customization options for advanced users, such as specifying certain parameters for the conversion process. - Make the app scalable so it can handle large files and high traffic efficiently.