🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risk in terms of network, shell, obfuscation, and credential risks. However, the metadata risk score is elevated due to low maintainer activity and poor metadata quality, making it suspicious.

Metadata risk score is 5 out of 10
Low maintainer activity and poor metadata quality

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external API interactions.
Shell: No shell execution detected, indicating the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.
Metadata: The package shows signs of low maintainer activity and poor metadata quality, raising suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with accelbyte-py-sdk-service-platform

Develop a mini-game matchmaking platform using the AccelByte Python SDK. This platform will allow users to create and join game sessions, manage their profiles, and communicate with other players. The application should include the following core functionalities:

1. User Registration & Login: Allow users to register and login using email and password. Utilize the AccelByte SDK to handle user authentication and profile management.
2. Game Session Management: Users should be able to create new game sessions specifying game type, player count, and session duration. Other users can then browse available sessions and join them.
3. Real-time Communication: Implement a chat feature allowing users to communicate with each other during game sessions. Use the SDK's messaging capabilities to facilitate real-time communication between users.
4. Leaderboard Integration: Display a leaderboard showing the top players based on their win rates and total games played. Use the SDK to retrieve and update player statistics.
5. Profile Customization: Enable users to customize their profiles with avatars, usernames, and bio descriptions. Profiles should be updated through the SDK's user management API.
6. Multi-Language Support: Ensure the application supports multiple languages for a global audience.

To utilize the 'accelbyte-py-sdk-service-platform' package effectively, follow these steps:
- Initialize the SDK with your AccelByte client ID and secret key.
- Use the SDK's user management APIs for registration, login, and profile updates.
- For game session management, implement logic to create, list, and join sessions via the SDK's service platform APIs.
- Leverage the SDK's messaging APIs to enable real-time chat functionality.
- Retrieve and display leaderboard data using the SDK's statistics APIs.
- Customize the application's UI/UX to provide an engaging experience for users.

This project will showcase your ability to integrate third-party gaming services and build a functional, user-friendly application.