aws-resource-validator-healthlake

v2.0.3 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk with no network calls, shell executions, obfuscations, or credential harvesting attempts. The only concern is the missing author information and potential inactivity, which slightly increases metadata risk.

  • No network calls or shell executions detected
  • Author information missing
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external API interactions.
  • Shell: No shell execution patterns detected, which is expected and indicates no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's name is missing and they appear to be new or inactive, which raises some concerns but does not strongly indicate 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 (309 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-healthlake 
Create a Python-based utility called 'HealthLakeAuditTool' that leverages the 'aws-resource-validator-healthlake' package to perform comprehensive audits on AWS HealthLake resources. This tool will help users ensure their HealthLake data sources, FHIR data stores, and registries are correctly configured and healthy. The tool should include the following key features:

1. **Resource Validation**: Implement a function that validates the configuration of HealthLake resources against predefined Pydantic models from the 'aws-resource-validator-healthlake' package. Ensure it checks for common misconfigurations and provides detailed error messages if any issues are found.
2. **Health Checks**: Develop a feature that periodically checks the health status of HealthLake resources. This could involve querying AWS APIs to retrieve resource statuses and comparing them against expected values.
3. **Report Generation**: Create a report generator that outputs audit results into a human-readable format (e.g., Markdown or PDF). The report should summarize the audit findings, including any warnings or errors detected during validation and health checks.
4. **Configuration Management**: Allow users to configure which HealthLake resources to audit through a simple YAML configuration file. Users should be able to specify filters such as resource types, specific ARNs, and custom validation rules.
5. **Command Line Interface (CLI)**: Provide a CLI interface for running audits, specifying configurations, and outputting reports. Ensure the CLI is user-friendly with clear command options and help documentation.

The 'aws-resource-validator-healthlake' package will be central to defining the structure of the resources being validated and providing the models against which the actual AWS resources will be compared. Utilize its Pydantic models to validate the configuration files and responses from AWS API calls, ensuring consistency and correctness in your HealthLake environment.

💬 Discussion Feed

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