AI Analysis
The package shows minimal risk indicators with no signs of malicious activities. It is designed to interact with AWS services as expected.
- Network risk is acceptable for interacting with AWS services.
- No evidence of obfuscation, shell execution, or credential harvesting.
Per-check LLM notes
- Network: Expected to interact with AWS services, indicating normal network calls.
- Shell: No shell execution patterns detected, which is normal and expected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The author has only one package, which might indicate a new or less active account, but no other red flags were found.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed
Active multi-contributor project
6 unique contributor(s) across 100 commits in awslabs/aws-solutions-constructsActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository awslabs/aws-solutions-constructs appears legitimate
1 maintainer concern(s) found
Author "Amazon Web Services" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Build a simple Python application using the aws-solutions-constructs.aws-lambda-ssmstringparameter package to demonstrate its core features.
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