AI Analysis
The package has a moderate risk score due to the high shell risk associated with potential misuse of shell commands.
- High shell risk due to tmux session attachment
- No other significant risks detected
Per-check LLM notes
- Network: No network calls were detected.
- Shell: The use of shell execution to attach tmux sessions may indicate potential misuse for maintaining control over systems.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
Package Quality Overall: Medium (5.2/10)
Test suite present β 34 test file(s) found
Test runner config found: conftest.pyTest runner config found: conftest.py34 test file(s) detected (e.g. conftest.py)
Some documentation present
Detailed PyPI description (5786 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
189 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 100 commits in can-can/aqueSingle author but highly active (100 commits)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
lf.suspend(): subprocess.run(["tmux", "attach-session", "-t", agent.tmux_session])
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository can-can/aque appears legitimate
2 maintainer concern(s) found
Author 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 desktop task management application using the 'aque' Python package. This application will serve as a personal task queue manager where tasks can be assigned, tracked, and completed. The application will leverage tmux sessions managed by 'aque' to handle different types of tasks efficiently. Hereβs a step-by-step guide on how to develop this application: 1. **Setup**: Install the 'aque' package and set up your development environment with Python. 2. **Task Creation**: Allow users to create new tasks with descriptions, priorities, and deadlines. These tasks will be stored in a database. 3. **Queue Management**: Use 'aque' to manage a queue of tasks. Each task will be assigned to a tmux session managed by 'aque', allowing for parallel processing if needed. 4. **Status Tracking**: Implement functionality to track the status of each task (e.g., pending, in progress, completed). 5. **Notifications**: Set up notifications when tasks reach their deadlines or when they transition from one status to another. 6. **User Interface**: Develop a simple GUI using a library like PyQt or Tkinter to interact with the application. 7. **Integration**: Ensure seamless integration between the GUI and the backend logic that interacts with 'aque'. 8. **Testing**: Conduct thorough testing to ensure all functionalities work as expected. 9. **Documentation**: Provide comprehensive documentation for both users and developers. Suggested Features: - Drag-and-drop reordering of tasks in the queue. - Ability to attach multiple tmux sessions to a single task for complex workflows. - Customizable views for different types of tasks (e.g., coding, writing, meetings). - Integration with calendar apps for deadline tracking. How 'aque' is Utilized: - 'aque' will manage the tmux sessions, ensuring tasks are processed sequentially or concurrently based on user-defined rules. - It will also facilitate communication between different parts of the application, making it easier to manage state and notifications. - By leveraging 'aque', the application will be able to handle a large number of tasks efficiently, providing a smooth experience for the user.
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