aws-resource-validator-bcm-data-exports

v2.0.3 safe
3.0
Low Risk

Pydantic v2 models for AWS bcm_data_exports, 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 techniques observed. However, the incomplete maintainer profile raises some concern.

  • Low network, shell, and obfuscation risks
  • Incomplete maintainer profile
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 immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has an incomplete profile and seems to be new or inactive, which could indicate potential risk.

📦 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 (327 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-bcm-data-exports
Create a utility app called 'BCM Data Validator' using Python and the 'aws-resource-validator-bcm-data-exports' package. This app will help users validate BCM (Business Continuity Management) data exports from AWS services against predefined schemas provided by the package. The goal is to ensure that the exported data meets specific business continuity requirements before it is used for further analysis or reporting.

Steps to create the app:
1. Set up a Python virtual environment and install the necessary packages, including 'aws-resource-validator-bcm-data-exports'.
2. Define a CLI interface for the user to interact with the app easily.
3. Implement functions to load BCM data exports into memory.
4. Use the Pydantic models from 'aws-resource-validator-bcm-data-exports' to validate the loaded data against the defined schemas.
5. Provide feedback to the user about whether the data passes validation or not, highlighting any discrepancies found.
6. Add options for saving validated data to a file or database for further processing.
7. Include documentation and example usage scenarios to help new users get started quickly.

Suggested Features:
- Support for multiple BCM data export formats from AWS.
- Ability to customize validation rules based on specific business needs.
- Integration with logging frameworks to track validation activities.
- User-friendly error messages when data does not pass validation.
- Option to generate summary reports of validation results.

The 'aws-resource-validator-bcm-data-exports' package will be utilized by importing its Pydantic models which define the structure and constraints of valid BCM data exports. These models will serve as the basis for validating the imported data, ensuring it conforms to expected standards and formats.

💬 Discussion Feed

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