AI Analysis
Final verdict: SAFE
The package shows very low risks across all assessed categories with no network, shell, or obfuscation risks detected. The only slightly elevated concern is the metadata risk due to the author having only one package.
- Low network, shell, and obfuscation risks.
- Elevated metadata risk due to the author's limited number of packages.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access or API interactions.
- Shell: No shell execution patterns detected, indicating that the package likely does not execute external commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has only one package, which might indicate a new or less active account, but no other suspicious flags were detected.
Package Quality Overall: Medium (5.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (28886 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
Classifier: Typing :: Typed
✦ High
Multiple Contributors
10.0
Active multi-contributor project
32 unique contributor(s) across 100 commits in aws/aws-cdkActive community — 5 or more distinct contributors
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
Repository aws/aws-cdk appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Amazon Web Services" 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 aws-cdk.aws-gamelift-alpha
Develop a mini-application that leverages the 'aws-cdk.aws-gamelift-alpha' package to create and manage a GameLift fleet for a multiplayer game. Your application should include the following features: 1. **Fleet Creation**: Allow users to specify the operating system (Windows or Linux), instance type, and number of instances when creating a new fleet. 2. **Build Management**: Integrate with AWS S3 to upload game binaries (builds) and associate them with the fleets. 3. **Scaling Policies**: Implement automatic scaling policies based on player demand, such as increasing the number of active instances during peak hours and reducing them during off-peak times. 4. **Health Checks**: Monitor the health of game servers within the fleet and automatically replace unhealthy instances. 5. **Player Session Management**: Manage player sessions, including starting sessions, joining players to sessions, and handling session timeouts. 6. **Cost Estimation Tool**: Provide an estimation of monthly costs based on the chosen instance types and expected usage patterns. 7. **User Interface**: Develop a simple web interface using Flask or Django to interact with the application and visualize fleet status and player sessions. Your task is to design and implement this application, ensuring it integrates seamlessly with AWS services through the 'aws-cdk.aws-gamelift-alpha' package. The application should also provide clear documentation and examples for deploying and managing the GameLift fleets.
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