AI Analysis
The package is deemed safe with low risk indicators across all assessed categories. There are no signs of malicious activity or supply-chain attacks.
- No network calls detected.
- No shell execution beyond normal CLI behavior.
- No obfuscation or credential harvesting observed.
Per-check LLM notes
- Network: No network calls detected, which is normal and not indicative of malicious activity.
- Shell: The shell execution appears to be for clearing the console, which is benign and typical for CLI applications.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but there are no other suspicious flags.
Package Quality Overall: Medium (5.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://sdaqo.github.io/anipy-cli/getting-started-cliDetailed PyPI description (2307 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
102 type-annotated function signatures detected in source
Active multi-contributor project
9 unique contributor(s) across 100 commits in sdaqo/anipy-cliActive community β 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 1 shell execution pattern(s)
el() < 60: return os.system("cls" if os.name == "nt" else "clear") def get_prefered_pr
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: protonmail.com
All external links appear legitimate
Repository sdaqo/anipy-cli appears legitimate
1 maintainer concern(s) found
Author "sdaqo" 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 command-line interface (CLI) application named 'AnimeMate' using Python and the 'anipy-cli' package. This application should allow users to easily search for, watch, and download their favorite anime directly from their terminal. Hereβs a detailed breakdown of what the application should include: 1. **User Authentication**: Implement a simple login system where users can create an account and log in. This will allow the application to remember user preferences and history across sessions. 2. **Search Functionality**: Users should be able to search for anime by title, season, genre, or year. The search results should display relevant information such as the synopsis, episodes, and available streaming sources. 3. **Watch Anime**: After selecting an anime, users should have the option to watch it immediately through supported streaming services. The application should handle buffering, playback speed adjustments, and other common video player functionalities. 4. **Download Episodes**: Provide an option for users to download specific episodes or entire seasons of an anime. Ensure that the application respects copyright laws and only downloads content that is legally allowed. 5. **Favorite List Management**: Allow users to add anime to a favorites list and track their progress. They should be able to resume watching from where they left off. 6. **Notification System**: Integrate a notification system that alerts users about new episodes of their favorite shows or when downloads are complete. 7. **Settings and Preferences**: Include settings where users can customize their experience, such as preferred language, resolution, and more. To achieve these features, you will primarily utilize the 'anipy-cli' package for its core functionalities like searching, streaming, and downloading anime. Additionally, you may need to incorporate external libraries for handling user authentication, database management for storing user data, and notifications. Remember to design your application with a clean and intuitive CLI interface to enhance user experience.