AI Analysis
The package exhibits low risk in terms of network calls, shell execution, obfuscation, and credential harvesting. However, the missing maintainer's author name and their limited presence with only one package are concerning, suggesting potential novice handling or a less trustworthy actor.
- missing maintainer's author name
- maintainer has only one package
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 from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer's author name is missing and they appear to have only one package, which could indicate a less experienced or potentially suspicious actor.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (309 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
4 unique contributor(s) across 75 commits in CoreOxide/aws_resource_validatorSmall but multi-author team (3–4 contributors)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository CoreOxide/aws_resource_validator appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based command-line tool that leverages the 'aws-resource-validator-geo-routes' package to validate and manage AWS Geo Route 53 configurations. This tool should enable users to perform the following actions: 1. **Configuration Validation**: Users should be able to input their Geo Route 53 configuration details (such as hosted zones, geolocation routing policies, etc.) and have the tool validate these configurations against the AWS specifications using the Pydantic models provided by 'aws-resource-validator-geo-routes'. 2. **Error Reporting**: If the validation fails, the tool should clearly report which part of the configuration is incorrect, along with suggestions on how to fix it. 3. **Configuration Generation**: Provide a feature where users can specify certain parameters (e.g., domain name, region codes), and the tool generates a basic Geo Route 53 configuration based on those inputs. 4. **Interactive Mode**: Implement an interactive mode where users can progressively add or modify their configuration, and the tool validates the changes in real-time. 5. **Integration with AWS CLI**: Allow the tool to export validated configurations directly into a file format that can be imported into the AWS CLI or console. 6. **Customization Options**: Offer customization options for advanced users, such as specifying different validation rules or custom error messages. The 'aws-resource-validator-geo-routes' package will be crucial in ensuring that all configurations adhere to AWS standards. It will handle the complex validation logic behind the scenes, allowing you to focus on building a user-friendly interface and additional features.
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