AI Analysis
The package does not exhibit any risky behaviors such as network calls, shell executions, obfuscation, or credential harvesting. It appears to be a legitimate utility for the AMSDAL Framework.
- No network calls detected.
- No shell execution patterns found.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- 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.
Package Quality Overall: Low (4.4/10)
Test suite present — 27 test file(s) found
Test runner config found: conftest.pyTest runner config found: conftest.pyTest runner config found: conftest.py27 test file(s) detected (e.g. conftest.py)
Some documentation present
Detailed PyPI description (1074 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
73 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
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
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)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a customer relationship management (CRM) mini-app using the 'amdal_crm' package integrated within the AMSDAL framework. Your goal is to develop a simple yet effective CRM tool that helps businesses manage their customers' interactions and data efficiently. This mini-app will allow users to add new customers, view customer details, update customer information, and delete customer records. Additionally, it should provide functionalities to log interactions such as emails, calls, meetings, and notes associated with each customer. Steps to follow: 1. Set up your development environment with Python and install the 'amdal_crm' package along with any other necessary dependencies for the AMSDAL framework. 2. Design the database schema for storing customer data and interaction logs. Use the 'amdal_crm' package to integrate with the AMSDAL framework's database management system. 3. Develop the backend logic for CRUD operations on customer data. Ensure that all data manipulation adheres to best practices for security and privacy. 4. Implement user authentication and authorization to ensure only authorized personnel can access and modify customer data. 5. Create a simple frontend interface using a web framework like Flask or Django to interact with the backend API you've developed. The frontend should have forms for adding new customers, displaying customer profiles, updating customer information, and logging interactions. 6. Test the application thoroughly to ensure all functionalities work as expected and fix any bugs that arise during testing. 7. Document your code and write instructions on how to set up and run the application for others to use. Suggested Features: - Ability to search for customers by name, email, or phone number. - Notifications for upcoming customer events or deadlines. - Integration with external tools like email services for sending automated messages. - Reporting capabilities to generate insights from customer data. - Mobile responsiveness for accessing the app on various devices. Utilization of 'amdal_crm': - Use 'amdal_crm' to manage customer data models and ensure they comply with the standards set by the AMSDAL framework. - Leverage 'amdal_crm' for handling customer interactions, ensuring all logged activities are stored securely and are easily accessible through the app. - Integrate 'amdal_crm' features into your application to enhance its functionality and align with best practices in CRM software development.
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