AI Analysis
The package shows minimal risks across all categories analyzed, with no network calls, shell executions, or credential harvesting activities. The metadata risk is slightly elevated due to the package being new and having limited activity.
- No network calls detected.
- No shell execution patterns found.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell execution patterns detected, indicating it does not appear to execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of code obfuscation for malicious purposes.
- Credentials: No credential harvesting patterns detected, suggesting low risk of secret or credential theft.
- Metadata: The package is new with low activity and the maintainer has few packages, which could indicate potential risk.
Package Quality Overall: Medium (5.8/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (3966 chars)
Some contribution signals present
Separate author ("Tony Young, FichteFoll, Myaamori, ItMightBeKaraoke") and maintainer ("FichteFoll, ItMightBeKaraoke") listedDevelopment Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
11 unique contributor(s) across 100 commits in itmightbekaraoke/python-assActive community — 5 or more distinct contributors
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: itmightbekaraoke.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Tony Young, FichteFoll, Myaamori, ItMightBeKaraoke" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a subtitle management tool using the Python package 'ass-imbk' which focuses on parsing and manipulating Advanced SubStation Alpha (ASS) subtitle files. This tool will enable users to perform various operations on their subtitles, making it easier to edit, translate, or manage subtitles for videos. Here are the steps and features you need to implement: 1. **Setup**: Install 'ass-imbk' and any other necessary libraries such as `tkinter` for GUI or `argparse` for command-line interface. 2. **File Handling**: Implement functionality to open, read, and save ASS files. Use 'ass-imbk' to parse the file content and manipulate it accordingly. 3. **Editing Features**: - Add, delete, or modify subtitle entries. - Adjust timing of subtitles. - Change font styles and colors. 4. **Translation Support**: Integrate a simple translation feature that allows users to input a target language and automatically translates selected subtitles using an external API like Google Translate or DeepL. 5. **Search Functionality**: Enable users to search within the subtitle file for specific words or phrases. 6. **Export Options**: Provide options to export the modified subtitle file in different formats, including but not limited to SRT, SSA, and plain text. 7. **User Interface**: Design a user-friendly interface (either through a graphical interface using 'tkinter' or a command-line interface using 'argparse') that guides users through these operations seamlessly. 8. **Help and Documentation**: Include a help section that explains how to use each feature and provides examples. This project aims to streamline the process of managing subtitles, making it accessible and efficient for both professionals and hobbyists alike.
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