aws-resource-validator-ecs

v2.0.3 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators with no network calls, shell executions, obfuscations, or credential harvesting attempts. However, incomplete author information slightly increases metadata risk.

  • Incomplete author information
  • No detected risks in functionality
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, which is expected unless the package requires system-level operations.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete, which raises some suspicion, but there are no clear signs of malicious intent or typosquatting.

📦 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 (288 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-ecs 
Develop a comprehensive utility named 'ECS Validator' using Python that leverages the 'aws-resource-validator-ecs' package to validate Amazon ECS (Elastic Container Service) resources against Pydantic v2 models. This utility should serve as a robust tool for developers and DevOps engineers to ensure their ECS configurations are valid before deployment, thereby reducing the risk of configuration errors in production environments.

The 'ECS Validator' application should include the following core functionalities:
1. **Configuration Parsing**: Users should be able to input ECS resource definitions either via command line arguments or through a YAML/JSON file. The application will parse these inputs and prepare them for validation.
2. **Validation Against Models**: Utilize the 'aws-resource-validator-ecs' package to validate the parsed ECS resources against predefined Pydantic models. These models represent the expected structure and constraints of ECS resources such as tasks, services, clusters, etc.
3. **Detailed Validation Reports**: After validation, generate a detailed report indicating whether each resource is valid or not. For invalid resources, provide specific error messages explaining the discrepancies.
4. **Interactive Mode**: Implement an interactive mode where users can modify their ECS configurations directly within the application until all resources pass validation.
5. **Integration with CI/CD Pipelines**: Provide options for integrating the 'ECS Validator' into Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring that ECS configurations are validated as part of the automated testing process.
6. **Customizable Validation Rules**: Allow users to extend or modify the validation rules by adding custom Pydantic models if the default ones do not cover all their needs.

To utilize the 'aws-resource-validator-ecs' package effectively, your application should import its Pydantic models and use them as schemas to validate the ECS resources. Additionally, consider documenting how each model corresponds to different ECS resources and what specific validations they enforce. Your goal is to create a user-friendly, efficient, and extensible tool that significantly enhances the reliability and maintainability of ECS deployments.

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