aws-resource-validator-sustainability

v2.0.3 safe
4.0
Medium Risk

Pydantic v2 models for AWS sustainability, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SAFE

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)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Brief PyPI description (321 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validator
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution

No shell execution patterns detected

Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

Email domain looks legitimate: gmail.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository CoreOxide/aws_resource_validator appears legitimate

Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aws-resource-validator-sustainability
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.

💬 Discussion Feed

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