aws-resource-validator-groundstation

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network, shell, or credential risks. However, the metadata suggests it might be from a less established source, warranting closer scrutiny before widespread adoption.

  • No network or shell execution detected
  • Incomplete author information and single package maintainer
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete and the maintainer has only one package, which could indicate a new or less active account.

📦 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 (318 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-groundstation 
Develop a Python-based command-line tool named 'GroundStationChecker' that leverages the 'aws-resource-validator-groundstation' package to validate and manage AWS Ground Station resources. This tool will serve as a robust utility for developers and system administrators to ensure compliance and correctness of their AWS Ground Station configurations.

### Core Functionality:
1. **Resource Validation**: Implement a feature where users can input their AWS Ground Station resource configurations (e.g., dataflow endpoints, contact schedules) and the tool validates these against predefined Pydantic models from the 'aws-resource-validator-groundstation' package. This ensures that the provided configurations adhere to AWS Ground Station's specifications.
2. **Configuration Generation**: Allow users to generate sample configurations based on the validated models. This could be particularly useful for those who are new to AWS Ground Station or want to quickly set up compliant configurations.
3. **Error Reporting**: When a configuration fails validation, provide detailed error messages indicating which fields are incorrect or missing. These messages should point directly to the relevant section of the AWS documentation for further guidance.
4. **Integration with AWS CLI**: Enable the tool to fetch current configurations from an AWS account and validate them against the models. This helps in maintaining consistency between the actual configurations and the expected ones.
5. **Customization Support**: Users should be able to customize certain aspects of the validation process, such as setting custom validation rules or ignoring specific fields during validation.

### Suggested Features:
- **Interactive Mode**: A mode where users can interactively fill out configurations, receiving real-time feedback on the validity of each field.
- **Report Generation**: Ability to generate detailed reports summarizing the validation results, including any discrepancies found.
- **Version Control Integration**: Integrate with version control systems like Git to automatically validate configurations before committing changes.
- **Multi-Account Support**: Validate configurations across multiple AWS accounts, making it easier to manage large-scale deployments.

### Utilization of 'aws-resource-validator-groundstation':
This package will be central to defining and validating the structure of AWS Ground Station resources. By utilizing the Pydantic models provided by 'aws-resource-validator-groundstation', your tool can ensure that all configurations comply with AWS Ground Station's requirements, thereby reducing the likelihood of errors and improving overall reliability.

💬 Discussion Feed

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