AI Analysis
The package is in its initial version with no actual code or functionality, and lacks detailed maintainer information. This raises concerns about its legitimacy and intent.
- New package without clear maintainer information
- Initial version with no actual code or functionality
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell executions detected, indicating the package does not attempt to run external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is suspicious due to its newness and lack of maintainer information, but no concrete evidence of malice.
Package Quality Overall: Low (3.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (397 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Limited contributor diversity
2 unique contributor(s) across 100 commits in Sundeepg98/google-docs-mcpTwo distinct contributors found
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: gmail.com>
All external links appear legitimate
Repository Sundeepg98/google-docs-mcp appears legitimate
3 maintainer concern(s) found
Only one version has ever been released β brand new packageAuthor 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 automation tool using the Python package 'appscriptly' which is designed for workspace automation. Your task is to develop a mini-app named 'TaskScheduler', aimed at simplifying daily work tasks by automating repetitive actions. This tool will allow users to schedule tasks such as opening applications, sending emails, and managing files. Hereβs how you can proceed: 1. **Project Setup**: Begin by setting up your Python environment and installing 'appscriptly'. Since it's a placeholder, imagine it has functionalities similar to those of 'pyautogui' and 'schedule' combined. 2. **User Interface**: Design a simple GUI using Tkinter where users can input their tasks. Each task should include details like the action (e.g., open application, send email), parameters (e.g., file path, recipient email), and time (when the task should be executed). 3. **Task Management**: Implement a feature that allows users to add, edit, delete, and view scheduled tasks. Use 'appscriptly' to perform actions based on user input. 4. **Automation Engine**: Develop an engine that runs in the background, checking for scheduled tasks and executing them at the specified times. Utilize 'appscriptly' for task execution. 5. **Notifications**: Add functionality to notify users when a task is completed. Consider using a simple popup message or logging mechanism. 6. **Customization Options**: Allow users to customize the appearance of the app through settings options within the GUI. 7. **Documentation**: Write clear documentation explaining how to install and use TaskScheduler, including examples of different types of tasks that can be automated. 8. **Testing**: Thoroughly test your application to ensure all features work as expected. Pay special attention to edge cases and error handling. By following these steps, you'll create a useful and efficient desktop automation tool that leverages the power of 'appscriptly' to streamline everyday work processes.
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