AI Analysis
Final verdict: SAFE
The package has minimal risk indicators with no network calls, shell executions, or obfuscation techniques observed. The metadata risk is slightly elevated due to limited author details and potentially new or inactive account status.
- No network calls detected
- No shell execution patterns
- Sparse author information
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's information is sparse and the account seems new or inactive, but there are no clear signs of malicious intent.
Package Quality Overall: Low (3.8/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Brief PyPI description (315 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
✦ High
Multiple Contributors
8.0
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
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository CoreOxide/aws_resource_validator appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with aws-resource-validator-mediapackage
Create a Python-based utility named 'MediaPackageHealthChecker' that leverages the 'aws-resource-validator-mediapackage' package to validate and monitor AWS MediaPackage resources. This tool will help users ensure their MediaPackage channels and origins are correctly configured and functioning properly. The application should include the following functionalities: 1. **Resource Validation**: Implement a feature that allows users to input details of their MediaPackage channels and origins. Utilize the Pydantic v2 models provided by 'aws-resource-validator-mediapackage' to validate these inputs against the AWS specifications. 2. **Status Monitoring**: Extend the utility to periodically check the status of the validated MediaPackage resources. It should be able to fetch real-time data from AWS services and display the current health status of each resource. 3. **Alert System**: Integrate an alert system that notifies users via email or SMS if any of the monitored resources are not functioning as expected. 4. **Configuration Management**: Allow users to configure which resources to monitor and set up custom alerts through a simple configuration file. 5. **Reporting**: Generate periodic reports on the health of the monitored resources, summarizing issues found during validation and monitoring phases. To utilize 'aws-resource-validator-mediapackage', start by installing the package in your project environment. Use its Pydantic models to define schemas for input validation, ensuring that all configurations adhere to AWS MediaPackage standards. For monitoring and fetching real-time data, you might need to integrate other AWS SDKs such as Boto3. Remember to handle AWS credentials securely using the recommended practices.
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