AI Analysis
The package exhibits low individual risks across various categories. While the metadata risk score is moderately high due to limited author details and lack of a GitHub repo, there are no direct signs of malicious activity or supply-chain attack.
- No network calls detected.
- Author details and project documentation are minimal.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has no associated GitHub repository and the author's information is sparse, which raises some concerns about its legitimacy.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://docs.askui.comDetailed PyPI description (3931 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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: askui.com>
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
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
Your task is to develop a cross-platform automation tool named 'DeviceMover' using Python and the 'askui-agent-os' package. This tool will allow users to automate file and folder movements across their local filesystems on different operating systems (Windows, Linux, and macOS). The primary goal is to simplify repetitive tasks such as organizing downloads, moving files to specific directories based on certain criteria, or even scheduling these operations. Step 1: Set up your development environment with Python installed. Ensure you have access to the 'askui-agent-os' package. Install it via pip if necessary. Step 2: Design a user-friendly command-line interface (CLI) where users can specify source and destination paths for file/folder moves. Consider adding options like '--recursive', '--filter' (to move only files/folders matching a pattern), and '--schedule' (to schedule the operation). Step 3: Implement the core functionality of 'DeviceMover'. Use the 'askui-agent-os' package to interact with the local filesystem in a way that is consistent across different OSes. The package will help in ensuring that your script works seamlessly on all supported platforms without needing OS-specific code. Step 4: Add error handling and logging capabilities to your application. Log actions performed, errors encountered, and any other relevant information to help diagnose issues. Step 5: Test 'DeviceMover' thoroughly on each supported platform to ensure reliability and performance. Pay special attention to edge cases and unusual directory structures. Suggested Features: - Support for wildcard patterns in '--filter' option. - Ability to move files based on modification date (--older-than, --newer-than). - Integration with cron jobs or similar schedulers for '--schedule' option. - Optional GUI version using a library like PyQt or Tkinter for those preferring a graphical interface over CLI.
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