AI Analysis
The package has no detectable malicious activities and appears to be a legitimate utility package. However, the incomplete maintainer's author information slightly increases the metadata risk.
- No network calls detected.
- Incomplete maintainer's author information.
Per-check LLM notes
- Network: No network calls detected, which is normal for packages not requiring external API interactions.
- Shell: No shell execution patterns detected, which is expected as direct system command execution is uncommon in pure utility packages.
- Obfuscation: No obfuscation patterns detected, indicating a low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The maintainer's author information is incomplete, which may indicate a lack of transparency or a new/inactive account.
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 (303 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
Your task is to develop a command-line utility named 'SSO-OIDC Validator' using Python, which leverages the 'aws-resource-validator-sso-oidc' package to validate AWS SSO OIDC configurations. This utility will help administrators ensure their AWS Single Sign-On OpenID Connect configurations are correctly set up, thereby reducing potential security vulnerabilities and operational issues. Step 1: Initialize your project - Create a new Python virtual environment. - Install the 'aws-resource-validator-sso-oidc' package via pip. - Set up a basic project structure with appropriate directories for source code, tests, and documentation. Step 2: Define the main functionality - Implement a function that takes an AWS SSO OIDC configuration as input. - Use the 'aws-resource-validator-sso-oidc' package to validate this configuration against predefined Pydantic models. - Provide feedback to the user indicating whether the configuration is valid or not, along with any specific validation errors encountered. Step 3: Enhance the utility - Add support for reading configurations from a file instead of just stdin. - Implement error handling to manage invalid inputs gracefully. - Include options for verbose output that provides detailed information about each validation check performed. Step 4: Testing and Documentation - Write unit tests to cover various scenarios including valid and invalid configurations. - Document your code thoroughly and provide usage examples in the README file. - Ensure that the utility is easy to install and use by non-technical users as well. The 'aws-resource-validator-sso-oidc' package will be crucial in this project, as it provides the necessary Pydantic models to define the structure and constraints of valid AWS SSO OIDC configurations. By utilizing these models, you can easily validate complex configurations without having to manually parse and verify each component.
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