AI Analysis
The package shows minimal risk in terms of network, shell, and obfuscation activities. However, the metadata risk due to the maintainer's new or inactive account raises some concern.
- Low risk in network, shell, and obfuscation activities
- Metadata risk due to maintainer's new or inactive account
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 activity.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The maintainer has a new or inactive account and lacks a proper author name, raising some suspicion but not conclusive evidence of malice.
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 (327 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 mini-application named 'CampaignHealthChecker' that leverages the 'aws-resource-validator-connectcampaigns' package to validate and monitor AWS Connect Campaigns. This tool will help administrators ensure their campaigns are configured correctly and running smoothly. The application should perform the following actions: 1. **Configuration Setup**: Allow users to input their AWS credentials securely and select the specific AWS Connect Campaigns they want to monitor. 2. **Validation Phase**: Use the 'aws-resource-validator-connectcampaigns' package to validate each selected campaign against predefined Pydantic models. Ensure that all required fields are present and meet the necessary criteria. 3. **Status Reporting**: Provide a detailed report on the validation status of each campaign, including any errors or warnings identified during the validation process. 4. **Health Monitoring**: Implement a feature to periodically check the health and performance of the validated campaigns, alerting users if any issues arise. 5. **User Interface**: Develop a simple CLI interface for easy interaction and management of the campaigns being monitored. 6. **Logging and Alerts**: Integrate logging to track all activities and send email alerts for critical issues detected during monitoring. **Suggested Features**: - Support for multiple AWS regions. - Ability to schedule regular checks automatically. - Detailed error messages and suggestions for corrections. - Customizable alert thresholds based on campaign performance metrics. The 'aws-resource-validator-connectcampaigns' package is utilized primarily in the validation phase where it provides the necessary models to ensure that the AWS Connect Campaign configurations adhere to best practices and AWS standards. By integrating these models into your validation logic, you can ensure that campaigns are not only syntactically correct but also optimized for performance and security.
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