🤖 AI Analysis

Final verdict: SUSPICIOUS

The package ASHReports v0.2.6 is deemed suspicious due to its restricted licensing terms conflicting with the permissive MIT license statement and the absence of a maintainer history or linked git repository, which raises concerns about its provenance.

Restricted licensing terms conflicting with the MIT license statement
No maintainer history or linked git repository

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized command execution.
Metadata: The package is suspicious due to lack of maintainer history and no linked git repository.

🔬 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
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 ASHReports

Your task is to develop a fully-functional mini-application using the Python package 'ASHReports' which generates weekly reports for ASH. This application will serve as a tool to streamline the process of compiling and presenting data relevant to ASH activities over a week. Here’s a detailed guide on how to approach this project:

1. **Project Setup**: Begin by installing the 'ASHReports' package via pip. Ensure your development environment is set up correctly with Python and necessary libraries.
2. **Application Design**: Design the application to accept user input regarding the specific week for which the report is needed. The application should also allow customization of report content based on predefined templates provided by 'ASHReports'.
3. **Core Functionality**: Implement core functionalities such as fetching data from an internal database or external API (if available), processing this data through 'ASHReports', and generating a formatted PDF or HTML report. Utilize the package's capabilities to enhance report visualization and readability.
4. **Customization Options**: Offer users the ability to customize report layouts, fonts, colors, and inclusion/exclusion of certain sections (e.g., summary, graphs, detailed logs).
5. **Exporting Reports**: Integrate functionality to export generated reports directly to a specified folder or upload them to cloud storage services like Google Drive or Dropbox.
6. **User Interface**: Develop a simple command-line interface (CLI) for ease of use, or consider adding a basic web interface if you're familiar with frameworks like Flask or Django.
7. **Testing and Validation**: Test the application thoroughly to ensure it handles various edge cases and inputs gracefully. Validate the accuracy and completeness of generated reports.
8. **Documentation**: Provide comprehensive documentation for both end-users and developers, detailing installation, configuration, usage, and any limitations or known issues.

The 'ASHReports' package will be crucial in automating the report generation process, allowing for quick turnaround times and consistent quality across all reports. Emphasize on leveraging its features to make the application robust and user-friendly.