anytask-scraper

v1.2.0 suspicious
5.0
Medium Risk

CLI, TUI and Python library for anytask.org

🤖 AI Analysis

Final verdict: SUSPICIOUS

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)

✦ High Test Suite 9.0

Test suite present — 22 test file(s) found

  • Test runner config found: pyproject.toml
  • 22 test file(s) detected (e.g. test_api_write.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/Coldish-elf/anytask-scraper/tree/main/doc
  • Detailed PyPI description (2242 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 510 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 31 commits in Coldish-elf/anytask-scraper
  • Two distinct contributors found

🔬 Heuristic Checks

Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • ssword self._client = httpx.Client(follow_redirects=True, timeout=30.0) self._authentic
  • try: with httpx.Client(follow_redirects=True, timeout=30.0) as gc:
Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution score 6.0

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,
Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

No author email provided

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository Coldish-elf/anytask-scraper appears legitimate

Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Coldish-elf" 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 anytask-scraper
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.

💬 Discussion Feed

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