AI Analysis
Final verdict: SAFE
The package shows minimal signs of potential risk with no obfuscation or credential harvesting detected. The low metadata risk is balanced against the limited information available about the maintainer.
- No obfuscation or credential harvesting detected
- Maintainer has a single package and lacks detailed metadata
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets and credentials.
- Metadata: The maintainer has a single package and lacks PyPI classifiers, suggesting low activity or effort.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 4.0
Found 2 shell execution pattern(s)
otify_Download") subprocess.run(["spotdl", URL, "--output", PATH], capture_output=True, textmΓ©tadonnΓ©es result = subprocess.run( ["spotdl", "save", url, "--save-file", tmp_path
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
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "TMCooper" 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 NekoDL
Create a versatile media downloading application called 'NekoMegaDownloader' using the Python package 'NekoDL'. This application will serve as a one-stop solution for downloading various types of media from popular sources such as YouTube, TikTok, and anime streaming sites. The app should be user-friendly, allowing users to input URLs and select download formats and qualities. Here are the key steps and features you need to implement: 1. **Setup**: Begin by installing the required packages including 'NekoDL'. Ensure your environment supports Python. 2. **User Interface**: Develop a simple but intuitive GUI using Tkinter. It should include fields for entering URLs and selecting output formats and qualities. 3. **Core Functionality**: Utilize 'NekoDL' to handle the downloading process. Implement functions that accept URL inputs and use 'NekoDL' to download media according to user preferences. 4. **Format & Quality Selection**: Allow users to choose between different download formats (e.g., MP4, MP3) and qualities (e.g., 720p, 1080p). 5. **Progress Tracking**: Add functionality to track the download progress and display it on the UI. 6. **Error Handling**: Implement robust error handling to manage issues like invalid URLs or unsupported formats gracefully. 7. **Save Location**: Provide an option for users to specify where downloaded files should be saved. 8. **Testing**: Test the application thoroughly with various URLs to ensure reliability and efficiency. 9. **Documentation**: Write clear documentation explaining how to install, configure, and use 'NekoMegaDownloader'. By following these steps, you'll create a powerful yet easy-to-use tool that leverages 'NekoDL' to offer a seamless media downloading experience.