AI Analysis
The package exhibits a moderate risk due to its potential for executing arbitrary shell commands, despite no evidence of malicious intent or credential harvesting.
- Shell risk is high due to execution of git commands.
- Maintainer's limited activity raises concerns about package maintenance and updates.
Per-check LLM notes
- Network: The network call patterns are likely for making HTTP requests to a server, which could be benign if the package is designed to scrape tasks or data from a remote service.
- Shell: The shell execution patterns indicate the package may execute git commands to clone repositories and switch branches, which might be intended for fetching task-related code but also poses a risk for executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer seems new and has limited activity, but there are no clear red flags.
Package Quality Overall: Medium (6.6/10)
Test suite present — 22 test file(s) found
Test runner config found: pyproject.toml22 test file(s) detected (e.g. test_api_write.py)
Some documentation present
Documentation URL: "Documentation" -> https://github.com/Coldish-elf/anytask-scraper/tree/main/docDetailed PyPI description (2242 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Classifier: Typing :: Typed510 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 31 commits in Coldish-elf/anytask-scraperTwo distinct contributors found
Heuristic Checks
Found 2 network call pattern(s)
ssword self._client = httpx.Client(follow_redirects=True, timeout=30.0) self._authentictry: with httpx.Client(follow_redirects=True, timeout=30.0) as gc:
No obfuscation patterns detected
Found 3 shell execution pattern(s)
", clone_url, target) subprocess.run( ["git", "clone", clone_url, str(target)],o.branch, target) subprocess.run( ["git", "checkout", info.branch],str], text: str) -> None: subprocess.run( command, input=text, text=True,
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository Coldish-elf/anytask-scraper appears legitimate
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Coldish-elf" 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 called 'AnyTask Manager' that leverages the functionalities of the 'anytask-scraper' package. This application will serve as a tool for AnyTask users to manage their tasks more efficiently. Here are the detailed steps and features for your project: 1. **Application Setup**: Begin by setting up a Python environment and installing the necessary packages, including 'anytask-scraper'. Ensure your application supports both CLI and TUI interfaces. 2. **Authentication Module**: Implement an authentication module that allows users to log in using their AnyTask credentials. This module will use the 'anytask-scraper' package to interact with the AnyTask API and fetch user-specific data. 3. **Task Management**: Utilize the 'anytask-scraper' package to scrape task information from AnyTask. Your application should allow users to view, add, update, and delete tasks directly from the CLI or TUI interface. 4. **Notification System**: Integrate a notification system within the application that alerts users about upcoming deadlines, completed tasks, or new assignments. Notifications can be displayed within the TUI or sent via email/SMS (using external services). 5. **Data Export/Import**: Implement functionality to export task data into common file formats like CSV or JSON. Additionally, allow users to import task data from these files into their AnyTask account through the application. 6. **User Interface Enhancements**: For the TUI, ensure it is user-friendly and visually appealing. Consider adding features such as dynamic resizing, color coding for task statuses, and keyboard navigation. 7. **Testing and Documentation**: Write comprehensive tests to ensure all features work as expected. Also, create detailed documentation explaining how to install, configure, and use the 'AnyTask Manager' application. This project aims to streamline task management for AnyTask users while showcasing the versatility and power of the 'anytask-scraper' package.
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