AI Analysis
Final verdict: SUSPICIOUS
The package has no direct signs of malicious intent or obfuscation, but the metadata raises concerns due to incomplete maintainer information and a suspicious email domain.
- Metadata risk with incomplete maintainer information
- Suspicious email domain
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows several red flags including a suspicious email domain, lack of community engagement, and incomplete maintainer information.
Package Quality Overall: Medium (5.6/10)
✦ High
Test Suite
9.0
Test suite present — 4 test file(s) found
Test runner config found: pyproject.toml4 test file(s) detected (e.g. test_container.py)
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Documentation" -> https://github.com/wssccc/appctx#readmeDetailed PyPI description (7593 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
32 type-annotated function signatures detected in source
◈ Medium
Multiple Contributors
5.0
Limited contributor diversity
1 unique contributor(s) across 39 commits in wssccc/appctxSingle author but highly active (39 commits)
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
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 appctx
Create a fully-functional mini-application named 'DependencyInjectorDemo' using the Python package 'appctx', which provides Spring-style dependency injection capabilities. This application will serve as a simple task management system where tasks can be added, removed, and managed through a command-line interface. Here’s a detailed plan on how to build this application: 1. **Setup Project Structure**: Initialize a new Python project and install 'appctx'. Create a basic directory structure including src/, tests/, and config/ directories. 2. **Define Task Interface and Implementations**: Define an abstract base class `Task` with methods like `add`, `remove`, and `list_tasks`. Implement concrete classes such as `TodoList` and `ReminderList` inheriting from `Task`. Each implementation should have unique functionalities but follow the same interface. 3. **Configure Dependency Injection**: Use 'appctx' to configure dependency injection for your task implementations. Set up a configuration file in the config/ directory to define beans (services) and their dependencies. 4. **CLI Application**: Develop a command-line interface that allows users to interact with the task management system. Users should be able to select which type of task list they want to manage (e.g., TodoList or ReminderList). 5. **Feature Implementation**: - Add tasks: Users can add tasks to their selected task list. - Remove tasks: Users can remove specific tasks from their list. - List all tasks: Users can view all tasks in their list. 6. **Testing**: Write unit tests to ensure each feature works as expected. Test cases should cover adding, removing, and listing tasks for both types of task lists. 7. **Documentation**: Provide clear documentation explaining how to use the CLI, how to extend the application with additional task types, and how the dependency injection is configured. 8. **Deployment**: Package the application so it can be easily installed and run on any machine with Python installed. Include instructions for installing and running the application in the documentation. This project aims to demonstrate the power and flexibility of 'appctx' in managing complex applications through dependency injection, while also providing a practical tool for managing personal tasks.
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