AI Analysis
Final verdict: SAFE
The package aioplugin v0.4.0 exhibits low risks across all categories except for shell risk, which needs further investigation. However, without clear malicious intent or activity, the overall assessment leans towards safety.
- No network calls detected
- No signs of obfuscation or credential harvesting
- Shell execution capability requires further investigation
Per-check LLM notes
- Network: No network calls detected, which is not necessarily suspicious.
- Shell: Shell execution may be part of the package's functionality but requires further investigation to ensure it's not being misused.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some low-effort signs but lacks clear malicious indicators.
Package Quality Overall: Medium (5.8/10)
✦ High
Test Suite
9.0
Test suite present — 3 test file(s) found
3 test file(s) detected (e.g. test_linters.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (3483 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
40 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
3 unique contributor(s) across 48 commits in Vizonex/aiopluginSmall but multi-author team (3–4 contributors)
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 2.0
Found 1 shell execution pattern(s)
one: try: subprocess.run( [self.get_bin()] + self.CMD,
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository Vizonex/aioplugin appears legitimate
Maintainer History
score 6.0
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)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with aioplugin
Create a fully functional mini-application called 'AsyncTaskManager' using the Python package 'aioplugin'. This application will serve as a task management system where users can add, update, delete, and execute tasks asynchronously. Each task will have attributes such as title, description, due date, and priority level. The application should also support plugins to extend its functionality, allowing third-party developers to contribute additional task types or execution strategies. Step-by-Step Instructions: 1. Set up the project structure, including directories for the main application code, plugins, and tests. 2. Define a base Task class that includes methods for setting and getting attributes like title, description, due date, and priority. 3. Implement an asynchronous function to add tasks to a queue and another to retrieve tasks from the queue. 4. Create an asynchronous function to handle task updates and deletions. 5. Use 'aioplugin' to manage plugins that can extend the functionality of the application. Plugins should be able to register themselves and their specific task types or execution strategies. 6. Ensure that all operations are performed asynchronously to take advantage of the 'aioplugin' package's capabilities for clean asynchronous decorator and class callback applications. 7. Develop a simple command-line interface (CLI) for interacting with the application, allowing users to add, update, delete, and execute tasks. 8. Write unit tests for each component of the application to ensure reliability and robustness. 9. Document the process of creating and integrating new plugins into the application. Suggested Features: - Support for multiple task queues based on priority levels. - Notification system for upcoming deadlines. - Statistics about completed and pending tasks. - Integration with external calendar services for synchronization. - Detailed logging of all operations for auditing purposes. How 'aioplugin' is Utilized: - For defining asynchronous decorators and callbacks that can be easily extended through plugins. - To manage plugin registration and interaction, ensuring that the core application remains modular and extensible. - To facilitate the creation of asynchronous tasks and their execution, leveraging the package's ability to handle complex asynchronous workflows efficiently.