🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity based on the provided analysis notes. It has low risks across all categories checked.

No network calls detected
No shell executions detected
No obfuscation patterns detected
No credential harvesting patterns detected

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell executions detected, which is typical and indicates no immediate signs of malicious activities.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 7.0

Some documentation present

Documentation URL: "Documentation" -> https://ab-sdk.readthedocs.io/
Detailed PyPI description (7504 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 7.0

Partial type annotation coverage

Classifier: Typing :: Typed
351 type-annotated function signatures detected in source

✦ High Multiple Contributors 8.0

Active multi-contributor project

4 unique contributor(s) across 100 commits in AnnexBrands/ab
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: annexbrands.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository AnnexBrands/ab 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 annex-abconnect

Create a comprehensive inventory management system using the 'annex-abconnect' Python package, which serves as the interface to the Annex Brands ABConnect APIs. This system will allow users to manage product inventories across multiple stores, track sales data, and generate reports. Here’s a detailed breakdown of the steps and features you need to implement:

1. **Setup and Configuration**: Begin by setting up your development environment with Python installed and the 'annex-abconnect' package imported. Configure the necessary API keys and authentication tokens required to interact with the Annex Brands ABConnect APIs.

2. **Product Management**: Implement functionalities to add, update, delete, and retrieve product information. Each product should have attributes such as name, description, price, quantity, and category. Use the 'annex-abconnect' package to connect with the corresponding endpoints for these operations.

3. **Store Management**: Allow the creation and management of store profiles. Each store profile should include details like location, contact information, and a unique identifier. Ensure that products can be assigned to specific stores through the 'annex-abconnect' package.

4. **Sales Tracking**: Develop features to record sales transactions. Each transaction should capture the date, time, total amount, and list of items sold. Integrate the 'annex-abconnect' package to fetch real-time sales data from the ABConnect APIs.

5. **Reporting System**: Create a reporting module that generates various types of reports based on user queries. Reports could include daily sales summaries, monthly sales trends, and stock levels by category. Utilize the 'annex-abconnect' package to retrieve relevant data for these reports.

6. **User Interface**: Design a simple and intuitive command-line interface (CLI) or a basic web interface using Flask or Django. The UI should facilitate easy interaction with all the implemented features.

7. **Testing and Documentation**: Thoroughly test each feature to ensure it works as expected. Write comprehensive documentation detailing how to set up the application, use its features, and troubleshoot common issues.

By following these steps and utilizing the 'annex-abconnect' package effectively, you will create a robust and user-friendly inventory management solution tailored for Annex Brands users.