AI Analysis
The package shows minimal direct risks, but concerns arise from incomplete author metadata and potentially inactive account, hinting at possible supply-chain manipulation.
- Incomplete author metadata
- Potentially inactive account
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting the package does not pose a risk for stealing secrets or credentials.
- 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 (306 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 command-line utility called 'AWS Resource Inspector' using Python that leverages the 'aws-resource-validator-qbusiness' package to validate and display information about AWS resources specifically related to qBusiness services. The utility should allow users to input or specify AWS resource configurations and receive feedback on whether these configurations meet best practices and standards defined within the package. Key Features: - Input AWS resource configuration data via command line arguments or a configuration file. - Validate the input against the Pydantic v2 models provided by 'aws-resource-validator-qbusiness'. - Provide detailed output indicating which parts of the configuration are compliant and which need adjustments. - Offer suggestions for improving non-compliant configurations based on the validation results. - Allow saving validated configurations to a new file or updating existing ones. - Include a help menu that explains each feature and provides examples of valid input formats. The 'aws-resource-validator-qbusiness' package will be crucial for defining the validation rules and ensuring that the configurations adhere to AWS best practices for qBusiness services. Your task is to design and implement this utility from scratch, ensuring it is user-friendly and robust.
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