AI Analysis
The package presents minimal risks with no network calls, shell executions, obfuscations, or credential harvesting attempts. However, the metadata risk due to the author's potential inactivity or lack of transparency slightly elevates the score.
- Low network/shell/obfuscation/credential risk
- Potential new or inactive author account
Per-check LLM notes
- Network: No network calls suggest the package is not attempting to communicate externally without reason.
- Shell: No shell execution patterns indicate that the package does not execute system commands, reducing risk.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has a potentially new or inactive account and lacks a proper name, which may indicate less experience or transparency.
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 (300 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 'AWSResourceChecker' using the 'aws-resource-validator-schemas' package. This tool will validate AWS resource configurations against official AWS schema definitions provided by the 'aws-resource-validator-schemas'. The application should be able to parse JSON or YAML configuration files representing AWS resources such as S3 buckets, RDS instances, or Lambda functions. It should then validate these configurations against the appropriate schema and output any validation errors or warnings. Additionally, the tool should support the following features: 1. Command Line Interface (CLI): Users should be able to specify the path to their configuration file and optionally select which AWS resource type they are validating. 2. Validation Output: The tool should provide a detailed report on validation results, including any issues found and suggestions for corrections. 3. Schema Versioning Support: Allow users to specify which version of the AWS schema they want to validate against. 4. Integration with AWS SDKs: For more complex validations, the tool should be able to use the AWS SDKs to fetch live schema information if needed. 5. Configuration File Parsing: Automatically detect whether the input file is in JSON or YAML format and parse it accordingly. 6. Custom Schema Support: Provide the ability to define custom schemas for resources not covered by the standard AWS schemas. The 'aws-resource-validator-schemas' package will be utilized to load the required schemas for validation. Ensure your implementation includes proper error handling and clear documentation on how to install and run the tool.
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