AI Analysis
The package shows no signs of malicious activity, with low scores across all categories. The metadata risk is slightly elevated due to the author having only one package, but there are no other red flags.
- No network or shell risks detected
- Low metadata risk
Per-check LLM notes
- Network: No network calls detected, which is normal for a package that does not require external communications.
- Shell: No shell execution patterns detected, indicating no immediate risk of executing system commands.
- Obfuscation: No obfuscation patterns detected, suggesting legitimate use.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
- Metadata: The author has only one package, which may indicate a new or less active account, but no other suspicious flags were detected.
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-fargate-stepfunctions package to demonstrate its core features.
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