AI Analysis
The package shows low individual risks across various checks, but the maintainer's limited activity and newness raise concerns about potential supply-chain risks.
- Low individual risk scores across network, shell, obfuscation, and credential risks.
- New maintainer with limited activity is flagged as a potential concern.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell executions detected, indicating no direct system command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting no immediate threat to stored secrets.
- Metadata: The maintainer seems new and has limited activity, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (5.2/10)
Partial test coverage signals detected
1 test file(s) detected (e.g. test_package.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/soss-community/apep_webservice_forge/treeDetailed PyPI description (10192 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project102 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 6 commits in soss-community/apep_webservice_forgeSingle author with few commits — possibly a personal or throwaway project
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
Repository soss-community/apep_webservice_forge appears legitimate
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "sora7672" 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 'apep-webservice-forge' package, which is a Python web framework designed to streamline development with FastAPI and Jinja2. This app will be a simple task management tool where users can log in, create tasks, assign them to other users, set deadlines, and mark tasks as completed. Additionally, it should include features like user profile management, task filtering by status (pending, completed), and notifications for upcoming deadlines. Step-by-Step Instructions: 1. Setup the project environment by installing the 'apep-webservice-forge' package and setting up your virtual environment. 2. Define the data models for User and Task using the ORM capabilities provided by the framework. 3. Implement authentication and authorization functionalities to secure user data. 4. Create APIs for CRUD operations on tasks and user profiles. 5. Integrate Jinja2 templates for rendering HTML pages for user interaction. 6. Add functionality for task assignment and deadline tracking. 7. Implement filtering options for tasks based on their completion status. 8. Include real-time notifications for tasks nearing their deadlines using WebSocket support. 9. Test the application thoroughly to ensure all features work as expected. 10. Deploy the application to a cloud service provider of your choice. Suggested Features: - User registration and login - Profile editing including personal information and password change - Task creation, editing, and deletion - Assigning tasks to other registered users - Setting and viewing task deadlines - Marking tasks as completed - Filtering tasks by completion status - Real-time notifications for tasks approaching their deadlines How to Utilize 'apep-webservice-forge': This package simplifies the process of building a robust web application by abstracting away much of the boilerplate code typically required for web frameworks. Use its modular structure to separate concerns cleanly, leveraging FastAPI for efficient API development and Jinja2 for dynamic templating. The package also supports modern development practices such as dependency injection and testability, making it easier to maintain and scale your application over time.