AI Analysis
The package shows no signs of malicious intent with low risks across all categories except for metadata, where there is some concern about the author's identity and activity level.
- No network calls detected
- No shell execution patterns
- No obfuscation or credential harvesting
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package is expected to communicate with external services.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's information is incomplete and they may be new or inactive, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (7.0/10)
Test suite present — 5 test file(s) found
Test runner config found: pyproject.toml5 test file(s) detected (e.g. __init__.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/hartungstenio/asyncio-extensions#readmeDetailed PyPI description (11946 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: Typed33 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 49 commits in hartungstenio/asyncio-extensionsSmall but multi-author team (3–4 contributors)
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: users.noreply.github.com>
All external links appear legitimate
Repository hartungstenio/asyncio-extensions 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 fully-functional mini-app that serves as a personal task manager using the Python package 'asyncio-extensions'. This app should allow users to add, edit, delete, and mark tasks as completed. Additionally, it should have the ability to periodically check for any overdue tasks and notify the user via email or SMS. ### Features: 1. **Task Management** - Add new tasks with due dates and descriptions. - Edit existing tasks. - Mark tasks as completed. - Delete tasks. 2. **Notification System** - Send notifications when tasks become overdue. - Notifications can be sent via email or SMS. 3. **User Interface** - Simple command-line interface for adding/editing/deleting tasks. - Real-time updates on task status. 4. **Data Persistence** - Tasks should persist even after the app is closed. - Use SQLite for storing tasks. 5. **Concurrency and Performance** - Utilize 'asyncio-extensions' to handle concurrent task operations efficiently. - Ensure smooth operation even with a large number of tasks. ### Utilization of 'asyncio-extensions': - Use the 'asyncio-extensions' package to manage asynchronous operations such as sending notifications and checking for overdue tasks. Specifically, implement a background task that periodically checks for overdue tasks using the package's scheduling capabilities. Also, use its concurrency features to ensure that adding, editing, deleting, and marking tasks as completed can be done concurrently without blocking other operations.
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