AI Analysis
Final verdict: SAFE
The package is assessed as safe with very low risks across all categories. It does not exhibit any signs of malicious activity.
- No network calls detected
- No shell execution patterns
- No obfuscation patterns
- No credential harvesting patterns
- Low metadata risk due to new account
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating no unexpected system command executions.
- Obfuscation: No obfuscation patterns detected, suggesting normal and transparent code practices.
- Credentials: No credential harvesting patterns detected, indicating safe handling of sensitive information.
- Metadata: The author has a new or inactive account with only one package, which may indicate a lack of established trust but does not strongly suggest malicious intent.
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 (64836 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-bedrock-alpha
Create a Python-based application that leverages the AWS CDK and the 'aws-cdk.aws-bedrock-alpha' package to deploy and manage Amazon Bedrock resources within an AWS environment. Your task is to develop a small, but fully functional, utility that automates the process of setting up and configuring a basic Bedrock instance for text-to-speech synthesis. This utility will allow users to define and customize various aspects of their Bedrock deployment, such as specifying the model to use for text-to-speech conversion, setting up necessary IAM roles for access control, and deploying the infrastructure required for the service. Your application should include the following features: 1. Define a construct that provisions an Amazon Bedrock instance with a specified model for text-to-synthesis tasks. 2. Implement a mechanism for specifying IAM roles and policies to secure access to the Bedrock resources. 3. Allow users to input text and receive audio files as output through the Bedrock service. 4. Provide a simple command-line interface (CLI) for interacting with the deployed Bedrock resources, including starting, stopping, and querying the status of the text-to-speech tasks. 5. Ensure that all AWS resources are properly cleaned up when the application is terminated. Utilize the 'aws-cdk.aws-bedrock-alpha' package to interact with the Bedrock API and manage the underlying AWS resources efficiently. Additionally, your project should demonstrate best practices in cloud resource management, such as using environment variables for sensitive information and implementing CI/CD pipelines for automated deployments.
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