AI Analysis
The package shows very low risks in terms of network, shell, and obfuscation activities. While there is some concern about the maintainer's metadata, this alone does not significantly increase the overall risk score.
- Low network and shell risk
- Missing maintainer information
- No detected malicious activities
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external API interactions.
- Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer's author name is missing and they appear to have only one package on PyPI, which may indicate a less established or potentially suspicious account.
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 utility called 'AWS Cost Estimator' that leverages the 'aws-resource-validator-pricing' package to estimate costs for various AWS services based on user-defined configurations. This tool will help users understand the financial implications of their cloud architecture decisions before deploying them. The application should include the following features: 1. **Service Selection**: Allow users to select from a list of common AWS services such as EC2, S3, RDS, etc. 2. **Configuration Input**: For each selected service, provide a form where users can input details like instance type, storage size, data transfer rates, etc. 3. **Cost Calculation**: Use the 'aws-resource-validator-pricing' package to fetch real-time pricing data from AWS and calculate the estimated monthly cost based on the provided configuration. 4. **Report Generation**: Generate a PDF report summarizing the chosen configurations and the calculated costs. 5. **Interactive Dashboard**: Develop a simple web interface using Flask or Django to make the application more user-friendly and accessible. 6. **Real-Time Updates**: Ensure that the pricing data is fetched in real-time to reflect any changes in AWS pricing. 7. **Error Handling & Validation**: Implement robust error handling and validation checks to ensure that all inputs are valid and within acceptable ranges. 8. **User Authentication**: Integrate basic user authentication so that multiple users can save their configurations and revisit them later. The 'aws-resource-validator-pricing' package will be crucial for fetching accurate pricing data directly from AWS. Your task is to design and implement this utility, ensuring it is both functional and user-friendly. Additionally, document your code thoroughly and provide clear instructions on how to install and run the application.
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