aws-resource-validator-amplifyuibuilder

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity such as network calls, shell executions, or obfuscation. However, the maintainer's incomplete profile and new account slightly elevate the metadata risk.

  • No network calls detected
  • No shell execution patterns
  • Incomplete maintainer profile
  • New maintainer account
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 no direct system command execution by the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has an incomplete profile and a new account, which raises some concerns but does not definitively indicate malicious intent.

📦 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 (327 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-amplifyuibuilder 
Create a Python-based mini-application named 'AmplifyUIValidator' that leverages the 'aws-resource-validator-amplifyuibuilder' package to validate and manage UI resources for AWS Amplify projects. This application will serve as a tool for developers to ensure their UI components comply with best practices and standards set by AWS Amplify.

### Application Overview:
- **Functionality**: The application will allow users to upload a JSON file containing UI resources (components, themes, etc.) and validate these against predefined schemas provided by the 'aws-resource-validator-amplifyuibuilder' package.
- **Output**: Upon validation, the app will output a report indicating which resources pass the validation and which ones fail, along with specific reasons for failure if applicable.

### Features:
1. **File Upload**: Users should be able to upload a JSON file containing UI resources.
2. **Validation**: The application will validate the uploaded resources using the Pydantic models from 'aws-resource-validator-amplifyuibuilder'.
3. **Report Generation**: After validation, generate a detailed report summarizing the results.
4. **User Interface**: Provide a simple command-line interface (CLI) for ease of use.
5. **Customizable Validation Rules**: Allow users to customize certain validation rules if needed.
6. **Error Handling**: Gracefully handle errors such as invalid file formats or missing required fields.

### Utilization of 'aws-resource-validator-amplifyuibuilder':
- **Schema Definition**: Use the Pydantic models from the package to define the schema for UI resources.
- **Data Validation**: Apply these schemas to validate user-provided data.
- **Integration**: Integrate the package's functionality seamlessly into the application's workflow to ensure accurate and consistent validation.

### Development Steps:
1. **Setup Environment**: Create a virtual environment and install necessary packages including 'aws-resource-validator-amplifyuibuilder', 'pydantic', and any other dependencies.
2. **Define CLI**: Develop a basic CLI using Python's built-in modules or a library like Click.
3. **Implement File Upload Functionality**: Code the functionality to accept and process JSON files.
4. **Integrate Validation Logic**: Utilize the 'aws-resource-validator-amplifyuibuilder' package to implement the validation logic.
5. **Generate Reports**: Implement logic to generate and display reports based on validation results.
6. **Test and Debug**: Thoroughly test the application and debug any issues.
7. **Documentation**: Write clear documentation explaining how to use the application, including examples and common issues.
8. **Deployment**: Prepare the application for deployment, possibly as a standalone executable or containerized application.

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