AI Analysis
The package exhibits low risk across all major categories with no network calls, shell risks deemed normal, and no obfuscation or credential risks. While metadata suggests low maintenance, there is insufficient evidence to suggest malicious intent.
- Low network risk
- Normal shell usage
- No obfuscation or credential risks
Per-check LLM notes
- Network: No network calls detected, indicating low risk.
- Shell: Shell execution appears to be used for opening files or checking terminal capabilities, suggesting normal functionality rather than malicious intent.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
- Metadata: The package shows signs of low maintenance and possibly low effort, but there's no clear indication of malicious intent.
Package Quality Overall: Low (2.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (3061 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
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
Found 6 shell execution pattern(s)
]) self.process = subprocess.Popen( cmd, stdin=subprocess.PIPE,form == 'darwin': subprocess.Popen(['open', filepath]) elif _IS_WINDOWS: osth) else: subprocess.Popen(['xdg-open', filepath]) except Exception: passtry: result = subprocess.run(['tput', 'colors'], capture_output=True, text=True, timeout=path) try: proc = subprocess.Popen(cmd, stdin=subprocess.PIPE, stdout=subprocess.DEVNULL, stdere() try: result = subprocess.run( ['ffprobe', '-v', 'error', '-select_streams', '
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a versatile command-line utility called 'AsciiVidPlayer' using the Python package 'asciideia'. This tool will serve as a comprehensive solution for converting images and videos into ASCII art and playing them back in real-time. Here's a detailed breakdown of the steps and features to include: 1. **Installation**: Ensure that users can install your utility via pip. Provide clear instructions on setting up the environment. 2. **Conversion Module**: Develop a module that converts both static images and videos into ASCII art. Utilize 'asciideia' to handle the conversion process efficiently. Users should be able to specify the output resolution and color mode (monochrome or colored). 3. **Playback Feature**: Implement a playback feature for video files converted into ASCII art. Users should be able to set the playback speed and view the ASCII art animation in real-time. Use 'asciideia' to manage the rendering and display of frames. 4. **Synchronization**: For video conversions, ensure that the playback is synchronized with the original video's frame rate to maintain smooth transitions. 5. **Interactive Mode**: Add an interactive mode where users can manipulate the ASCII art in real-time. They should be able to zoom in/out, pan across the image/video, and adjust the brightness and contrast. 6. **Output Saving**: Allow users to save the converted ASCII art as text files or images. Provide options for different file formats like .txt, .png, etc. 7. **User Interface**: Since this is a command-line utility, focus on creating a clean and intuitive CLI interface. Include help documentation and examples for each feature. 8. **Testing and Documentation**: Write tests to ensure all functionalities work as expected. Provide detailed documentation explaining how to use each feature and troubleshoot common issues. 9. **Enhancements**: Consider adding additional features such as support for GIFs, live webcam feeds, or even integrating audio from video files. By following these steps, you'll create a robust and user-friendly tool that leverages the power of 'asciideia' to transform visual media into captivating ASCII art experiences.
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