AI Analysis
Final verdict: SAFE
The package shows low risk indicators with no network calls, shell executions, or credential harvesting attempts. However, the metadata quality and maintainer activity level are concerns, but they do not indicate malicious intent.
- Low network risk
- No shell execution detected
- Poor metadata quality and low maintainer activity
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external services.
- Shell: No shell execution detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, but there are no clear indications of malicious intent.
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 shortAuthor "" 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-achievement
Create a Python-based mini-game achievement tracker application using the AccelByte Python SDK - Service Achievement package. This application will allow users to log into their gaming accounts via AccelByte, track their achievements within a specific game, and display them in a user-friendly dashboard. Here are the key steps and features for your project: 1. **User Authentication**: Integrate AccelByte’s authentication service to allow users to sign in using their gaming credentials. 2. **Achievement Fetching**: Utilize the 'accelbyte-py-sdk-service-achievement' package to fetch achievements data from the specified game. 3. **Dashboard Creation**: Develop a simple web interface using Flask or Django to display the user’s achievements, including icons, descriptions, and progress. 4. **Progress Tracking**: Implement a feature that allows users to track their progress towards earning new achievements. 5. **Notifications**: Add functionality to notify users when they earn a new achievement. 6. **Leaderboards**: Optionally, include leaderboards that show top players based on their achieved points or badges. This project will not only demonstrate the power of the AccelByte SDK but also provide a valuable tool for gamers to keep track of their accomplishments.