🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious intent, but its low activity and potentially outdated metadata raise concerns about its maintenance status and reliability.

Low activity and lack of metadata suggest potential low effort or inactive project.
Metadata risk score of 4 out of 10 indicates some level of suspicion.

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 unexpected system command executions.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: Low activity and lack of metadata suggest potential low effort or inactive project, raising some suspicion.

🔬 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: openapitools.org>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "OpenAPI Generator community" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with across-server-openapi-python

Create a fully-functional mini-application using the 'across-server-openapi-python' package which leverages FastAPI's capabilities to build a RESTful API for managing a simple inventory system. This application should allow users to perform CRUD operations on items within the inventory. Here’s a detailed breakdown of the requirements and steps to achieve this:

1. **Setup**: Begin by installing the necessary packages including 'across-server-openapi-python', FastAPI, and an ASGI server like Uvicorn.
2. **Model Definition**: Define a model class for your inventory items. Each item should have attributes such as ID, name, description, price, and quantity.
3. **Database Integration**: Use SQLite as the database to store the inventory items. Implement functions to interact with the database for adding, updating, deleting, and retrieving items.
4. **API Endpoints**: Create API endpoints for the following operations:
   - Add a new item to the inventory.
   - Update an existing item in the inventory.
   - Delete an item from the inventory.
   - Retrieve all items in the inventory.
   - Retrieve a single item by its ID.
5. **Validation and Error Handling**: Ensure that each endpoint includes validation checks and appropriate error handling to manage invalid requests gracefully.
6. **Documentation**: Utilize the 'across-server-openapi-python' package to automatically generate comprehensive documentation for your API, including descriptions for each endpoint and expected request/response formats.
7. **Testing**: Write unit tests for each endpoint to verify that they function correctly under various scenarios.
8. **Deployment Considerations**: Discuss potential deployment strategies for your application, considering factors like scalability, security, and performance.

This project will not only help you understand how to work with FastAPI and 'across-server-openapi-python', but also provide practical experience in building a robust, well-documented API.