AI Analysis
The package shows minimal risk indicators such as no network or shell risks, but the metadata risk score due to low activity and lack of maintainer information raises concern. This could indicate potential supply-chain risks.
- Metadata risk due to low activity and missing maintainer information
- Potential supply-chain attack risk
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access to function.
- Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of potential low activity and lack of maintainer information, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (5.8/10)
Test suite present β 6 test file(s) found
6 test file(s) detected (e.g. test_array_util.py)
Well-documented package
Documentation URL: "Documentation" -> https://montpellierressourcesimagerie.github.io/auto-options1 documentation file(s) (e.g. conf.py)Detailed PyPI description (4810 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Limited contributor diversity
2 unique contributor(s) across 44 commits in MontpellierRessourcesImagerie/auto-options-pythonTwo distinct contributors found
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: mri.cnrs.fr>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a user-friendly command-line interface (CLI) tool and a corresponding graphical user interface (GUI) using PyQt6 for managing a personal library of books. This application will allow users to add, remove, and modify entries in their book collection. The core functionality will be implemented using Python, and the 'auto-options-python' package will be utilized to manage command-line options and generate GUI components automatically from these options. ### Project Steps: 1. **Setup Project Structure**: Initialize a Python project and install necessary packages including 'auto-options-python' and PyQt6. 2. **Define Book Data Model**: Create a class to represent a book with attributes like title, author, publication year, and ISBN. 3. **Implement CLI Commands**: Use 'auto-options-python' to define command-line options for adding, removing, and listing books. For example, `--add`, `--remove`, and `--list` commands. 4. **Generate GUI Components**: Utilize 'auto-options-python' to automatically generate corresponding GUI widgets based on the CLI options defined earlier. These widgets should facilitate user interaction for adding and removing books. 5. **Develop Core Logic**: Implement the logic for handling book data, ensuring it works seamlessly across both CLI and GUI interfaces. 6. **Testing**: Thoroughly test the application to ensure all functionalities work as expected, including edge cases like invalid inputs. 7. **Documentation**: Provide clear documentation on how to use the CLI and GUI interfaces, and how 'auto-options-python' was integrated into the project. ### Suggested Features: - **Search Functionality**: Allow users to search for books by title or author within the GUI. - **Export/Import Options**: Enable exporting the book collection to a CSV file and importing it back into the application. - **Sorting Books**: Implement sorting options within the GUI to sort books by title, author, or publication year. - **Error Handling**: Implement robust error handling mechanisms to gracefully manage unexpected scenarios such as missing files or invalid inputs. ### Integration of 'auto-options-python': - Use 'auto-options-python' to define and parse command-line arguments, ensuring they align with the desired functionalities (e.g., adding a new book). - Leverage the package's ability to generate GUI components from these command-line options to streamline the development process and maintain consistency between the CLI and GUI interfaces.
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