askui

v0.35.0 safe
2.0
Low Risk

Automate computer tasks in Python

🤖 AI Analysis

Final verdict: SAFE

The package askui v0.35.0 presents minimal risks based on the analysis notes provided. It has a moderate network risk which is expected due to its nature as a Python SDK, but no signs of malicious activities such as shell execution, obfuscation, or credential harvesting were detected.

  • moderate network risk
  • no signs of malicious activities
Per-check LLM notes
  • Network: Network calls are expected if the package interacts with external services or APIs.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7430 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

  • 242 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • t_url) http_client = httpx.Client(event_hooks={"request": [_rewrite_url]}) client = O
  • httpx.Client: return httpx.Client( base_url=f"{self._settings.base_url}",
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: askui.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 askui 
Create a Python-based utility named 'AutoTasker' that leverages the 'askui' package to automate repetitive computer tasks. This utility will serve as a versatile tool for users looking to streamline their workflow by automating actions such as opening applications, typing into text fields, clicking buttons, and navigating through windows.

Step-by-Step Project Outline:
1. **Setup Environment**: Ensure you have Python installed on your system. Install the 'askui' package using pip.
2. **Define Core Features**:
   - **Task Scheduler**: Users should be able to schedule tasks to run at specific times.
   - **Task Recorder**: Allow users to record a sequence of actions (e.g., opening a browser, navigating to a URL, filling out a form) and save these sequences as reusable tasks.
   - **Task Executor**: Execute saved tasks based on user input or scheduled time.
3. **Implementation Details**:
   - Use 'askui' to capture mouse and keyboard events during task recording.
   - Save recorded tasks as Python scripts or configuration files.
   - Implement a simple GUI using Tkinter or PyQt to manage tasks and schedules.
4. **Enhancements**:
   - Add support for conditional actions (e.g., if a certain window appears, perform another action).
   - Include error handling to gracefully recover from unexpected situations.
   - Provide a logging feature to track task execution and errors.
5. **Testing and Deployment**:
   - Test the utility thoroughly across different operating systems and applications.
   - Package the utility for distribution using tools like PyInstaller.

By completing this project, you'll gain experience in automation, event handling, and building robust applications with Python.

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