AI Analysis
The package shows no signs of malicious behavior such as network calls, shell executions, or credential harvesting. However, there is some concern regarding incomplete author details and potential inactivity of the maintainer.
- No network calls detected
- Incomplete author details and potential inactivity of the maintainer
Per-check LLM notes
- Network: No network calls detected, which is unusual but not necessarily indicative of malicious activity; the package may be designed to operate offline or require explicit API calls from the user.
- Shell: No shell execution patterns detected, suggesting the package does not execute external commands which is typical and safe for most Python packages.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: Low risk but author details are incomplete and the maintainer seems new or inactive.
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 (306 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 named 'SSOAdminResourceChecker' that leverages the 'aws-resource-validator-sso-admin' package to validate AWS SSO Admin resources. This tool will serve as a comprehensive checker for users to ensure their AWS SSO Admin configurations meet certain standards and best practices. The application should have the following functionalities: 1. **User Authentication**: Implement a simple authentication mechanism using AWS SSO credentials provided by the user. 2. **Resource Validation**: Utilize the Pydantic v2 models from 'aws-resource-validator-sso-admin' to validate AWS SSO Admin resources such as PermissionSets, Instances, and Users against predefined schemas. 3. **Configuration Check**: Allow users to input custom configuration files (in YAML format) for their SSO Admin setup. The utility should compare these configurations against the validated resources to identify discrepancies. 4. **Report Generation**: Generate detailed reports highlighting any issues found during the validation process. These reports should include suggestions for corrections where possible. 5. **Interactive Mode**: Provide an interactive mode where users can query specific aspects of their SSO Admin setup, such as checking if a particular user has access to a specific permission set. 6. **Logging and Error Handling**: Ensure robust logging and error handling mechanisms are in place to help diagnose any issues encountered during the validation process. The 'aws-resource-validator-sso-admin' package plays a crucial role in this utility by providing the necessary Pydantic v2 models for validating AWS SSO Admin resources. These models will be used to define the structure and constraints of the resources being checked, ensuring they adhere to AWS standards and best practices.
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