AI Analysis
The package shows low risk in terms of network calls, shell execution, obfuscation, and credential handling. However, the metadata risk score is moderately high due to the maintainer's new or inactive account and lack of detailed author information.
- metadata risk score of 3/10
- new or inactive maintainer 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 no direct system command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating a low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The maintainer has a new or inactive account with limited package history and missing author information, raising some suspicion but not definitive 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 (333 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 command-line tool called 'SMSValidator' using Python and the 'aws-resource-validator-pinpoint-sms-voice' package. This tool will allow users to validate SMS and voice resources configured in their AWS Pinpoint projects. The application should have the following functionalities: 1. **Authentication**: Implement a simple authentication mechanism where users provide their AWS credentials (Access Key ID and Secret Access Key) securely. 2. **Resource Validation**: Utilize the 'aws-resource-validator-pinpoint-sms-voice' package to fetch and validate SMS and Voice resources from an AWS Pinpoint project. Users should be able to specify which project they want to validate. 3. **Validation Report**: Generate a detailed report on the validation process, highlighting any issues found with the SMS and Voice configurations, such as invalid phone numbers, missing sender IDs, etc. 4. **Export Results**: Allow users to export the validation report in CSV format for further analysis. 5. **Interactive Mode**: Provide an interactive mode where users can input specific resource IDs or configuration details directly into the CLI for ad-hoc validation. 6. **Help Documentation**: Include comprehensive help documentation accessible via command-line options, explaining how to use each feature and common troubleshooting tips. The 'aws-resource-validator-pinpoint-sms-voice' package will be crucial in defining the structure of the resources being validated and in validating them against AWS Pinpoint standards. Ensure your application leverages this package effectively to perform thorough validations and provide meaningful feedback to the user.
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