aws-resource-validator-organizations

v2.0.3 safe
4.0
Medium Risk

Pydantic v2 models for AWS organizations, 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 calls, shell executions, or obvious obfuscation techniques. However, the incomplete maintainer profile and potential inactivity warrant caution.

  • Incomplete maintainer profile
  • Potential inactivity of the 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 signs of executing system commands.
  • 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 appears to be new or inactive, which raises some concern but does not strongly 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 (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-organizations 
Create a command-line tool named 'OrgValidator' that leverages the 'aws-resource-validator-organizations' package to validate and manage AWS Organizations resources efficiently. This tool should allow users to validate the structure and compliance of their AWS Organizations resources against predefined schemas using Pydantic models. The application will support multiple operations such as fetching details about organizational units, policies, accounts, and validating these entities against specified rules.

### Key Features:
1. **Resource Fetching**: Users should be able to fetch details of organizational units, policies, and accounts within their AWS Organization.
2. **Validation Against Schemas**: Use Pydantic models provided by the 'aws-resource-validator-organizations' package to validate fetched resources against predefined schemas.
3. **Rule-Based Compliance Check**: Implement customizable rule-based validation checks where users can define specific criteria for compliance.
4. **Output Reporting**: Provide detailed reports on the validation results, highlighting any non-compliant resources and suggesting corrections.
5. **Interactive Mode**: Offer an interactive mode where users can input resource details manually and get instant validation feedback.
6. **Configuration Management**: Allow users to configure default settings for validation rules and output formats through a configuration file.
7. **Logging and Error Handling**: Ensure robust logging mechanisms and user-friendly error handling to enhance usability and troubleshooting.

### Utilization of 'aws-resource-validator-organizations':
- Import Pydantic models from the package to represent AWS Organizations resources accurately.
- Use these models to validate fetched data against the schema, ensuring all required fields are present and correctly formatted.
- Leverage the package's namespace extension capabilities to integrate seamlessly with other AWS-related packages for enhanced functionality.

### Implementation Steps:
1. Set up the project environment, including dependencies installation and configuration.
2. Define the CLI structure with commands for fetching resources, validating them, and generating reports.
3. Integrate the 'aws-resource-validator-organizations' package to handle resource representation and validation logic.
4. Develop rule-based validation checks allowing users to customize compliance criteria.
5. Implement reporting functionalities to provide clear insights into validation outcomes.
6. Create an interactive mode for real-time validation feedback.
7. Configure options for managing user preferences and settings.
8. Test thoroughly across different scenarios and edge cases to ensure reliability and performance.
9. Document the tool comprehensively, providing examples and best practices for usage.

💬 Discussion Feed

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