AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity and has a very low risk score. All individual risk categories assessed are minimal, suggesting it is safe to use.
- No network calls or shell executions detected.
- Author has only one package, but no additional red flags.
Per-check LLM notes
- Network: No network calls detected, which is normal for a package that does not require external API interactions.
- Shell: No shell execution patterns detected, which is expected as typical Python packages do not execute system 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 may indicate a new or less active account, but no other red flags were identified.
Package Quality Overall: Low (3.8/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
Classifier: Typing :: Typed
✦ High
Multiple Contributors
10.0
Active multi-contributor project
6 unique contributor(s) across 100 commits in awslabs/aws-solutions-constructsActive 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 awslabs/aws-solutions-constructs 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-solutions-constructs.aws-sqs-pipes-stepfunctions
Develop a small-scale inventory management system using the Python package 'aws-solutions-constructs.aws-sqs-pipes-stepfunctions'. This system will allow companies to manage their stock levels efficiently by integrating Amazon SQS, AWS Step Functions, and Amazon EventBridge Pipes. The goal is to create a streamlined process where inventory updates (such as new stock arrivals or item sales) trigger automated workflows that update stock levels and notify relevant parties if thresholds are met. The application should perform the following steps: 1. Receive inventory update messages through an SQS queue. 2. Use EventBridge Pipes to route these messages to a Step Functions workflow. 3. The Step Functions workflow should include states for processing the message, updating the inventory database, checking stock thresholds, and sending notifications based on these checks. 4. Implement error handling and retries within the Step Functions workflow to ensure reliability. 5. Provide a simple UI (using a web framework like Flask) for users to view current inventory levels and recent activity logs. Utilize the 'aws-solutions-constructs.aws-sqs-pipes-stepfunctions' package to simplify the integration between SQS, Step Functions, and EventBridge Pipes. This package allows developers to focus more on business logic rather than the underlying infrastructure setup. Your task is to design a scalable and maintainable solution that showcases the capabilities of this package while addressing real-world inventory management challenges.
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