AI Analysis
The package shows low risks in terms of network, shell, and obfuscation activities, with no signs of credential harvesting. However, the metadata risk score is elevated due to incomplete author information and potentially inactive account, which warrants further scrutiny.
- Incomplete author information
- Potentially inactive account
Per-check LLM notes
- Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity; it depends on the package's intended functionality.
- Shell: No shell execution patterns detected, suggesting no immediate risk from command execution vulnerabilities.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's information is incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (315 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validatorSmall but multi-author team (3–4 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
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository CoreOxide/aws_resource_validator appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based CLI tool named 'APIGatewayV2Validator' that leverages the 'aws-resource-validator-apigatewayv2' package to validate and display information about API Gateway V2 resources. This tool should allow users to input their AWS API Gateway V2 resource definitions in JSON format and then validate these against the Pydantic models provided by the 'aws-resource-validator-apigatewayv2' package. Upon validation, the tool should output whether the resource definition is valid and provide details such as the API name, route keys, integration types, and any other relevant information. Additionally, implement error handling to catch and report common issues like missing required fields or incorrect data types. As an advanced feature, include the ability to automatically correct simple errors, such as fixing a typo in a route key, and notify the user of these corrections. Finally, ensure the tool is well-documented and easy to use, with clear instructions on installation and usage.
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