anibridge-mal-provider

v0.2.2 safe
3.0
Low Risk

MAL provider for the AniBridge project.

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate and safe for use, given the low risks identified in all categories except metadata, where the maintainer's account status slightly increases uncertainty.

  • Network risk is moderate due to unverified destinations.
  • Maintainer has only one package, suggesting a possibly new or less active account.
Per-check LLM notes
  • Network: The use of aiohttp for network requests is common and not inherently suspicious, but the destination TO should be verified for legitimacy.
  • Shell: No shell execution patterns detected.
  • 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 might 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 (1149 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

  • 43 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)

  • " self._session = aiohttp.ClientSession(headers=headers) return self._session async def
  • async with ( aiohttp.ClientSession(headers=headers) as session, session.post(TO
✓ 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-mal-provider 
Create a user-friendly anime management tool using the 'anibridge-mal-provider' Python package. This tool will allow users to sync their anime watching progress between MyAnimeList (MAL) and their personal collection. Here’s a detailed breakdown of the steps and features to implement:

1. **Setup Environment**: Begin by setting up your development environment with Python and installing the 'anibridge-mal-provider' package.
2. **User Authentication**: Implement a secure login system where users can authenticate their MyAnimeList accounts. Ensure that the tool complies with MAL’s API usage policies.
3. **Data Fetching**: Utilize the 'anibridge-mal-provider' package to fetch data from MAL, including anime titles, episodes watched, scores, and more.
4. **Local Database**: Develop a local database (using SQLite or another preferred database system) to store the fetched data and any additional user inputs such as custom notes or tags.
5. **Sync Functionality**: Create a feature that allows users to sync their local database entries back to their MAL account. Ensure this process is reversible, allowing users to adjust their local data before syncing.
6. **Progress Tracking**: Implement a visual progress tracker for each anime series, displaying episode counts, scores, and completion status.
7. **Custom Notes & Tags**: Allow users to add custom notes and tags to each anime entry in their local database for better organization and personal reflection.
8. **Search & Filter**: Provide a search functionality that enables users to look up specific anime titles and filter them based on various criteria like genre, score, and number of episodes.
9. **Notifications**: Add a notification system that alerts users when new seasons of their favorite anime are about to start or when they have updated their MAL profile.
10. **User Interface**: Design a clean and intuitive user interface using a framework like Tkinter or PyQt for desktop applications, ensuring ease of use and accessibility.

By following these steps, you'll create a powerful and versatile tool that enhances the anime tracking experience for users.

💬 Discussion Feed

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