AI Analysis
The package shows low risks in terms of network calls, shell executions, obfuscations, and credential theft attempts. However, the missing maintainer information and potential inactivity raise concerns about its legitimacy.
- Maintainer's author name is missing
- Potential inactivity of the maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external API interactions.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
- Metadata: The maintainer's author name is missing and they appear to be new or inactive, which raises some suspicion but does not definitively indicate malice.
Package Quality Overall: Low (3.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Brief PyPI description (342 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
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
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository CoreOxide/aws_resource_validator appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based mini-application named 'MarketplaceAuditTool' which leverages the 'aws-resource-validator-marketplace-reporting' package to provide comprehensive auditing capabilities for AWS Marketplace resources. This tool should enable users to validate the integrity and compliance of their AWS Marketplace offerings based on predefined schemas provided by the package. ### Key Features: 1. **Resource Validation**: Implement a feature where users can input details of their AWS Marketplace resources (e.g., product ID, SKU, etc.) and the tool will validate these against the schemas defined in 'aws-resource-validator-marketplace-reporting'. This includes checking for correct data types, required fields, and any other constraints. 2. **Compliance Reporting**: Generate detailed reports indicating whether each resource complies with AWS Marketplace guidelines. These reports should highlight any discrepancies or missing information. 3. **Interactive CLI Interface**: Develop a user-friendly command-line interface (CLI) for interacting with the MarketplaceAuditTool. Users should be able to easily add, validate, and review their resources. 4. **Data Persistence**: Allow users to save validated resources and reports to a local database for future reference and auditing purposes. 5. **Automated Scheduling**: Enable users to schedule regular audits of their resources at specified intervals using a cron-like scheduler integrated into the tool. ### Utilizing 'aws-resource-validator-marketplace-reporting': - Use the package to define the structure and validation rules for AWS Marketplace resources within your application. - Integrate the validation logic from the package directly into the validation feature of your tool. - Leverage the package's models to generate accurate and detailed compliance reports. This project aims to streamline the process of maintaining AWS Marketplace resources by automating validation and reporting tasks, ensuring all resources adhere to AWS standards.
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