AI Analysis
Final verdict: SAFE
The package is assessed as safe with minimal risks identified. It shows no signs of malicious activity or supply-chain attacks.
- No network calls detected.
- Single package from the author, potentially new or less active, but no other suspicious activities.
Per-check LLM notes
- Network: No network calls detected, which is normal for packages not requiring external API interactions during runtime.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is typical for most Python libraries.
- 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 activities 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 (12097 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-sagemaker-alpha
Create a small project that automates the deployment of a SageMaker endpoint using the AWS CDK and the 'aws-cdk.aws-sagemaker-alpha' package. Your application should perform the following steps: 1. Allow users to specify a model artifact S3 bucket and key, as well as an optional Docker image URI for custom inference. 2. Use the specified model artifact and create a SageMaker Model construct. 3. Define an EndpointConfig using the created Model and optionally specify instance types and count. 4. Deploy the EndpointConfig to create a SageMaker Endpoint. 5. Implement a health check mechanism to ensure the deployed endpoint is operational. 6. Provide a way to delete the endpoint if needed. Optional Features: - Implement logging to CloudWatch for monitoring endpoint performance. - Add support for automatic scaling based on traffic patterns. - Allow specifying different instance types for training and inference. - Include a feature to update the endpoint with a new model version without downtime. The 'aws-cdk.aws-sagemaker-alpha' package is utilized throughout the project to define constructs such as Model, EndpointConfig, and Endpoint. This allows for declarative, programmatic creation and management of SageMaker resources within an AWS environment.
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