aws-resource-validator-compute

v2.0.3 safe
3.0
Low Risk

Compute, containers, batch, EMR, Workspaces

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk across all categories except for metadata, where there is some concern about incomplete author information. Overall, it appears to be a legitimate package with no signs of malicious activity.

  • Low risk scores in network, shell, obfuscation, and credential areas.
  • Incomplete author information in metadata.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, suggesting legitimate code.
  • Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
  • Metadata: The author information is incomplete, which could indicate a lack of transparency or a new/unreliable 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 (248 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-compute 
Create a Python-based utility named 'AWS Compute Health Auditor' which leverages the 'aws-resource-validator-compute' package to validate and audit various AWS compute resources such as EC2 instances, ECS clusters, EKS clusters, Batch jobs, EMR clusters, and WorkSpaces. This tool should provide comprehensive insights into the health, compliance, and cost-efficiency of these resources. Here’s a detailed breakdown of the project requirements:

1. **Authentication**: Implement IAM role or AWS credentials management to authenticate with AWS services.
2. **Resource Scanning**: Develop functionalities to scan and retrieve information about EC2 instances, ECS clusters, EKS clusters, Batch jobs, EMR clusters, and WorkSpaces.
3. **Health Checks**: Utilize 'aws-resource-validator-compute' to perform health checks on each resource type. For example, verify if an EC2 instance is running, check the status of ECS tasks, ensure EKS cluster nodes are healthy, validate Batch job statuses, confirm EMR cluster states, and assess WorkSpace connection statuses.
4. **Compliance Validation**: Integrate compliance rules to evaluate if the resources adhere to specific security and operational standards. This could include checking for proper encryption settings, security group configurations, and instance types.
5. **Cost Efficiency Analysis**: Analyze the cost efficiency of each resource by comparing actual usage against expected or optimal usage based on historical data and best practices.
6. **Reporting**: Design a feature to generate detailed reports summarizing the findings from the health checks, compliance validations, and cost analyses. These reports should be customizable and exportable in formats like PDF or CSV.
7. **User Interface**: Optionally, develop a simple command-line interface (CLI) or a basic web frontend to interact with the utility, making it user-friendly for both technical and non-technical users.
8. **Notifications**: Implement a system to send notifications via email or Slack when critical issues are detected during audits.

By utilizing the 'aws-resource-validator-compute' package, you will streamline the auditing process and provide actionable insights to improve the management and performance of AWS compute resources.

💬 Discussion Feed

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