nexus-enterprise-agent

v0.1.0 suspicious
4.0
Medium Risk

Enterprise-ready, SaaS-native Python multi-agent framework

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network usage, shell execution, obfuscation, and credential harvesting. However, the metadata risk score is high due to the package's recent creation and lack of maintainer history, raising suspicion about its legitimacy.

  • High metadata risk due to recent package creation and lack of maintainer history.
  • Low risk in network usage, shell execution, obfuscation, and credential harvesting.
Per-check LLM notes
  • Network: The use of an async HTTP client suggests the package is likely making network calls for legitimate purposes such as API interactions.
  • Shell: No shell execution patterns were detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package is suspicious due to its recent creation and lack of maintainer history.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • t: self._client = httpx.AsyncClient(timeout=self.timeout) try: await self._c
✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Package uploaded less than 24 hours ago (2026-06-05T09:54:51.000Z)
  • Author "Nexus Team" 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 nexus-enterprise-agent 
Your task is to create a fully functional mini-application using the 'nexus-enterprise-agent' package, which is designed as an enterprise-ready, SaaS-native Python multi-agent framework. This application will serve as a proof-of-concept for managing multiple agents within a single system, showcasing the capabilities of the 'nexus-enterprise-agent'. Your application should simulate a simple inventory management system where different agents handle various tasks such as inventory updates, stock alerts, and order processing.

### Step-by-Step Instructions:
1. **Setup Project Environment**: Begin by setting up your Python environment. Ensure you have the latest version of 'nexus-enterprise-agent' installed.
2. **Define Agents**: Create three distinct agents: `InventoryAgent`, `AlertAgent`, and `OrderProcessingAgent`. Each agent should perform specific functions related to the inventory management system.
   - `InventoryAgent` should manage inventory levels, updating them based on orders received or items returned.
   - `AlertAgent` should monitor inventory levels and send alerts when stock levels fall below a certain threshold.
   - `OrderProcessingAgent` should handle incoming orders, checking if there's enough stock before confirming the order and updating the inventory accordingly.
3. **Integrate Agents**: Use the 'nexus-enterprise-agent' framework to integrate these agents into your system. Ensure they can communicate effectively and operate concurrently.
4. **User Interface**: Develop a basic command-line interface (CLI) that allows users to interact with your system. Users should be able to add new products, place orders, and view current inventory levels.
5. **Testing & Validation**: Test each agent thoroughly to ensure it performs its designated function correctly. Validate that the agents can work together seamlessly.
6. **Documentation**: Write comprehensive documentation detailing how each agent works, how they interact, and how to use the CLI.

### Suggested Features:
- Implement logging for all actions performed by the agents.
- Allow the user to set thresholds for stock alerts via the CLI.
- Introduce error handling mechanisms to manage unexpected inputs or failures gracefully.
- Include a feature to display historical data, such as past order quantities and inventory changes.

By completing this project, you'll demonstrate your ability to leverage advanced Python packages like 'nexus-enterprise-agent' to build complex, multi-component systems.