AI Analysis
The package has low risks in terms of network, shell, and obfuscation activities but shows signs of potential inactivity and lack of transparency due to missing repository and a single version release.
- Metadata risk is elevated due to the package's new creation and potential inactivity.
- No additional risky behaviors detected, but the package's metadata raises concerns.
Per-check LLM notes
- Network: No network calls detected, which is normal for many packages and does not indicate risk.
- Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized command execution.
- Obfuscation: No obfuscation patterns detected, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being newly created and potentially inactive, with no repository and a single version release.
Package Quality Overall: Low (3.2/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (4611 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
12 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
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: archiet.com>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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 fully functional mini-application using the 'archiet-microcodegen-django' package. This package allows you to generate a working Django REST Framework application from Product Requirement Document (PRD) text, without any external dependencies or additional LLM calls. Your task is to develop a simple inventory management system that tracks products, including their categories, quantities, and suppliers. Here’s a breakdown of what your application should include: 1. **User Authentication**: Implement basic user authentication allowing users to sign up, log in, and log out. 2. **Product Management**: Allow users to add new products, edit existing ones, and delete them if necessary. Each product should have a unique identifier, name, description, category, quantity, and supplier information. 3. **Category Management**: Users should be able to create, update, and delete product categories. Categories should help organize products into meaningful groups. 4. **Supplier Management**: Enable users to manage suppliers, including adding new suppliers, updating their details, and deleting them when no longer needed. 5. **Inventory Tracking**: Provide functionality to track the quantity of each product. When a product's quantity reaches a certain threshold, it should trigger an alert or notification to the user. 6. **Search Functionality**: Implement search capabilities to find products based on various criteria such as name, category, and supplier. To utilize the 'archiet-microcodegen-django' package, start by writing a PRD text that clearly outlines these requirements and functionalities. Then, use the package to convert this PRD text into a complete Django REST Framework application. Ensure the resulting application is fully functional, adheres to RESTful principles, and includes all specified features. Additionally, provide a README file detailing how to set up and run the application.
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