aws-resource-validator-nova-act

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk indicators with no network calls, shell executions, obfuscations, or credential risks. The metadata risk slightly increases due to potential inactivity or new maintenance, but overall, there's no evidence suggesting a supply-chain attack.

  • No network calls
  • No shell executions
  • Limited package history
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of code obfuscation for malicious purposes.
  • Credentials: No credential harvesting patterns detected, indicating no risk of secret or credential theft.
  • Metadata: The package shows signs of a new or inactive maintainer with limited package history, but no other red flags.

📦 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 (303 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-nova-act 
Create a Python-based command-line tool named 'NovaActResourceChecker' that leverages the 'aws-resource-validator-nova-act' package to validate AWS resources according to the nova_act schema. This tool will serve as a utility for developers and DevOps engineers to ensure their AWS resource configurations adhere to best practices and standards defined by nova_act.

### Project Overview:
- **Name**: NovaActResourceChecker
- **Purpose**: Validate AWS resource configurations against the nova_act schema using Pydantic v2 models provided by 'aws-resource-validator-nova-act'.
- **Target Audience**: Developers and DevOps engineers working with AWS resources.
- **Features**:
  - Command-line interface for easy interaction.
  - Support for validating multiple AWS resource types including S3 buckets, EC2 instances, RDS databases, etc.
  - Detailed error reporting when a configuration does not meet the nova_act standards.
  - Option to validate configurations from local files or directly from AWS services.
  - Integration with popular CI/CD pipelines for automated validation during deployment processes.

### Utilizing 'aws-resource-validator-nova-act':
- Use the Pydantic v2 models from 'aws-resource-validator-nova-act' to define schemas for different AWS resource types.
- Implement a function that loads AWS resource configurations either from a file or directly from AWS APIs.
- Validate these configurations against the predefined schemas using the Pydantic model validation capabilities.
- Provide feedback to the user based on the validation results, highlighting any discrepancies with the nova_act standards.

### Step-by-Step Guide:
1. **Setup**: Install necessary Python packages including 'aws-resource-validator-nova-act', boto3 for AWS interactions, and typer for building the CLI.
2. **Model Definitions**: Define Pydantic models for various AWS resources using the 'aws-resource-validator-nova-act' package.
3. **Configuration Loading**: Develop functions to load AWS resource configurations from both local files and AWS services.
4. **Validation Logic**: Implement logic to validate loaded configurations against the defined Pydantic models.
5. **CLI Development**: Build a CLI using Typer that allows users to specify which resource type and configuration to validate.
6. **Error Handling & Reporting**: Ensure the tool provides clear, actionable feedback in case of validation errors.
7. **Integration Testing**: Test the tool thoroughly with different AWS resource configurations to ensure reliability.
8. **Documentation**: Write comprehensive documentation explaining how to use the tool, including setup instructions and examples.

This project aims to simplify the process of ensuring AWS resource configurations comply with nova_act standards, enhancing security and operational efficiency.

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