aws-resource-validator-health

v2.0.3 safe
3.0
Low Risk

Pydantic v2 models for AWS health, shipped as a PEP 420 namespace extension of aws-resource-validator.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, or obfuscation patterns detected. The only notable concern is incomplete author information, which slightly elevates the metadata risk.

  • No network calls
  • Incomplete author information
Per-check LLM notes
  • Network: No network calls suggest normal behavior for a tool focusing on local resource validation.
  • Shell: No shell executions indicate the package does not perform system-level operations that require shell access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete, suggesting a potentially less experienced or less reputable maintainer.

📦 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 (297 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_validator
  • Small 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 short
  • Author "" 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-health 
Create a Python-based mini-application called 'HealthMonitor' that serves as a personal dashboard for tracking AWS service health status updates. This application will fetch real-time health status data from AWS Health API using the 'aws-resource-validator-health' package and display it in an organized manner. The app should allow users to subscribe to specific services or regions and receive notifications via email or SMS when there are any changes in the health status of those services or regions. Additionally, the application should include a feature to store historical health status data in a local SQLite database for trend analysis and future reference.

Step-by-Step Guide:
1. Set up a virtual environment for your project and install the required packages including 'aws-resource-validator-health', 'boto3' for AWS SDK, 'sqlite3' for database operations, and 'twilio' for SMS notifications.
2. Utilize 'aws-resource-validator-health' to define Pydantic models for AWS health events and create functions to fetch and parse the health data from AWS Health API.
3. Implement user subscription management where users can select specific AWS services and regions they are interested in. Store these subscriptions in a user-friendly format.
4. Schedule periodic checks on AWS Health API using 'apscheduler' to check for any new or updated health events related to the subscribed services and regions.
5. Integrate email and SMS notification systems using libraries such as 'smtplib' and 'twilio'. When a change in health status is detected, send out notifications to the affected users.
6. Develop a simple web interface using Flask or FastAPI to display the current health status and historical trends based on the stored data. This UI should also allow users to manage their subscriptions easily.
7. Ensure all sensitive information like AWS credentials and Twilio keys are securely managed using environment variables or a secure vault solution.
8. Add logging capabilities to track errors and important events within the application for debugging and monitoring purposes.

💬 Discussion Feed

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