AI Analysis
The package shows minimal risk across all categories, primarily due to the lack of network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is slightly elevated due to the maintainer's new or inactive account status.
- No network calls detected
- Low metadata risk but noted due to maintainer's account status
Per-check LLM notes
- Network: No network calls detected, which is normal for a package focused on local resource validation.
- Shell: No shell execution patterns detected, consistent with the package's expected functionality.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive account with limited package history and lacks an author name, which could indicate low intent or experience.
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 (321 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
Your task is to create a Python-based command-line tool named 'SustainAudit' which will help users assess the sustainability of their AWS resource configurations. This tool should utilize the 'aws-resource-validator-sustainability' package to validate and score the sustainability of various AWS resources such as EC2 instances, S3 buckets, and RDS databases based on best practices related to energy efficiency and environmental impact. ### Core Functionality: 1. **Resource Configuration Validation**: The tool should take input from a user-specified configuration file (JSON format) detailing the setup of their AWS resources. Using the 'aws-resource-validator-sustainability' package, it will validate these configurations against sustainability criteria. 2. **Sustainability Scoring**: After validation, the tool should calculate a sustainability score for each resource type. Scores should range from 0-100, where higher scores indicate better alignment with sustainability goals. 3. **Report Generation**: Once scoring is complete, generate a comprehensive report summarizing the findings. The report should include recommendations for improving sustainability scores. ### Suggested Features: - **Custom Criteria Support**: Allow users to define custom sustainability criteria if they have specific requirements beyond the default ones provided by the 'aws-resource-validator-sustainability' package. - **Integration with AWS CLI**: Integrate the tool with the AWS Command Line Interface (CLI) to fetch live data about AWS resources when needed, enhancing the accuracy of the assessment. - **Real-Time Updates**: Implement real-time updates for the sustainability scores based on changes in AWS resource configurations. - **User-Friendly Interface**: Ensure the command-line interface is intuitive and easy to use, providing clear instructions and feedback at every step. ### Utilization of 'aws-resource-validator-sustainability': - Use the Pydantic models provided by the package to parse and validate input configurations. - Leverage the sustainability-specific validation rules included in the package to ensure thorough and accurate assessments. - Incorporate any additional functionalities or extensions provided by the package to enhance the tool's capabilities. Your goal is to build a tool that not only validates but also educates users on making more sustainable choices in their AWS infrastructure management.
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