AI Analysis
The package exhibits low risks across all categories with no detected network calls, shell executions, obfuscations, or credential harvesting activities. The metadata risk is slightly elevated due to the author's incomplete profile.
- No network calls
- No shell execution patterns
- Incomplete author profile
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 executions.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author has an incomplete profile and may be new or inactive, but there are no immediate red flags.
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 (342 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 utility that helps manage AWS Notification Channels for AWS Organizations using the 'aws-resource-validator-notificationscontacts' package. This utility will serve as a command-line tool that allows users to validate, create, update, and delete notification channels within their AWS account, ensuring they adhere to best practices and organizational policies. The utility should include the following features: 1. **Validation**: Before any action (create, update, delete), the utility should validate the provided configuration against the defined Pydantic models from the 'aws-resource-validator-notificationscontacts' package to ensure it meets all necessary requirements and constraints. 2. **Creation**: Users should be able to specify the details of a new notification channel (e.g., SNS topic ARN, delivery protocol, etc.) and have the utility create it in their AWS account. 3. **Update**: Provide functionality to update existing notification channels based on user input, ensuring all changes are validated before applying them. 4. **Deletion**: Implement a feature to delete specified notification channels, with validation checks to prevent accidental deletion of critical resources. 5. **List Channels**: Offer a listing function to display all currently configured notification channels in the user's AWS account. 6. **Configuration Management**: Allow users to export current configurations to a file (JSON or YAML) for backup or version control purposes, and import configurations from files to apply them directly to their AWS account. The 'aws-resource-validator-notificationscontacts' package will play a crucial role in the utility by providing pre-defined Pydantic models that encapsulate the structure and rules for valid AWS Notification Channel configurations. These models will be used extensively throughout the application to ensure data integrity and compliance with AWS standards during creation, update, and deletion operations.
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