aws-resource-validator-location

v2.0.3 safe
4.0
Medium Risk

Pydantic v2 models for AWS location, 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 obfuscations detected. The metadata risk is slightly elevated due to limited author information.

  • No network calls detected
  • No shell execution patterns detected
  • Sparse author information
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 the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
  • Metadata: The author's information is sparse, indicating potential lack of transparency.

📦 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-location 
Your task is to create a command-line utility called 'GeoValidator' using Python, which leverages the 'aws-resource-validator-location' package to validate AWS Location Service resources. This utility will help users ensure their AWS Location Service configurations comply with best practices and are correctly formatted. Here’s how you'll proceed:

1. **Setup Project**: Initialize a new Python project. Install the required packages, including 'aws-resource-validator-location'.

2. **Define CLI Interface**: Use Python's argparse or click library to define a command-line interface. Users should be able to specify an AWS Location Service resource type (e.g., Place Index, Geofence Collection) and provide the configuration details either via a file or directly through command-line arguments.

3. **Validation Logic**: Implement the validation logic using the models provided by 'aws-resource-validator-location'. Ensure that the input configurations are validated against the Pydantic v2 models specific to AWS Location Service resources.

4. **Error Handling and Reporting**: If any configuration is invalid, the utility should report back to the user with a clear error message indicating what went wrong. For valid configurations, provide feedback that confirms the configuration is compliant.

5. **Optional Features**:
   - Add support for multiple resource types in one command execution.
   - Allow users to specify custom validation rules in addition to the default ones.
   - Integrate with AWS SDK to automatically fetch existing resources and compare them against the provided configurations for consistency checks.

6. **Documentation**: Write comprehensive documentation for your tool, explaining how to install it, how to use it, and what each feature does. Include examples of valid and invalid configurations to help users understand the validation process better.

Remember, the goal is to make 'GeoValidator' a robust and user-friendly tool that simplifies the process of validating AWS Location Service resources.

💬 Discussion Feed

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