anibridge-utils

v0.2.2 safe
3.0
Low Risk

Internal shared utilities for the AniBridge project.

🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk indicators with no signs of malicious activities such as shell execution, obfuscation, or credential harvesting. It is considered safe for use.

  • Low network risk
  • No shell execution detected
  • No obfuscation detected
Per-check LLM notes
  • Network: The network calls are typical for fetching external resources and do not inherently suggest malicious activity.
  • Shell: No shell execution patterns detected, indicating low risk for direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity related to secret theft.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account, but there are no other red flags.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (927 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 108 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • fails. """ response = requests.get(url, headers=dict(headers or {}), timeout=timeout) respo
  • (url): async with aiohttp.ClientSession() as session: async with session.get(url) as
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Elias Benbourenane" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with anibridge-utils 
Create a mini-application called 'AnimeSync' using Python that leverages the 'anibridge-utils' package. This application will serve as a tool for anime enthusiasts to manage their viewing lists and sync their progress across different platforms. Here’s a step-by-step guide on what your application should do and how you can utilize the 'anibridge-utils' package:

1. **User Authentication**: Implement a simple user authentication system where users can sign up and log in to their accounts. Use the 'anibridge-utils' package for handling secure token storage and session management.
2. **Viewing List Management**: Allow users to add, remove, and update their anime titles in their viewing list. Each entry should include the title, season, status (watching, completed, paused), and current episode number. Utilize 'anibridge-utils' for data validation and error handling.
3. **Progress Tracking**: Enable users to mark episodes as watched and track their progress. Include functionality to set reminders for upcoming episodes and notify users when new episodes are available. Leverage 'anibridge-utils' for scheduling notifications and managing timestamps.
4. **Platform Sync**: Integrate the ability to sync viewing lists with popular anime streaming platforms like Crunchyroll, Funimation, and Hulu. Use 'anibridge-utils' for API interactions and data synchronization between local and external databases.
5. **Analytics Dashboard**: Provide a dashboard where users can see statistics about their viewing habits, such as total hours watched, most-watched genres, and top-rated series. Use 'anibridge-utils' for data aggregation and visualization.
6. **Social Features**: Add social sharing options so users can share their viewing progress on social media platforms. Employ 'anibridge-utils' for OAuth integration and secure data transmission.
7. **Backup & Restore**: Offer a feature for backing up and restoring viewing lists. Ensure that this process is seamless and secure using 'anibridge-utils' for file encryption and decryption.

Throughout the development process, ensure that 'anibridge-utils' is integrated efficiently to enhance the reliability and security of the application. Focus on creating a user-friendly interface and robust backend functionalities.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!