🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network usage, shell execution, and obfuscation. However, the metadata risk score is elevated due to the maintainer's new and potentially inactive account, raising suspicion about the package's origins and intentions.

Metadata risk due to new/inactive maintainer account
Minimal package history and incomplete author information

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has a new or inactive account with minimal package history and lacks a full author name, indicating potential low trustworthiness.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository vcoderun/acpkit 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 acpkit

Create a mini-application that acts as a bridge between different chatbot frameworks using the ACP Kit package in Python. This application will allow users to interact with various chatbots through a single interface, making it easy to switch between different conversational agents without needing to change the underlying framework.

Steps:
1. Set up a basic Flask web server to handle HTTP requests and responses.
2. Integrate the ACP Kit package to manage communication with different chatbot frameworks (e.g., Rasa, ChatterBot).
3. Design a simple user interface where users can select which chatbot they want to communicate with.
4. Implement a session management system to keep track of conversations for each user.
5. Develop a backend service that translates incoming user messages into the appropriate format for the selected chatbot and vice versa.
6. Test the application thoroughly to ensure smooth interaction with all supported chatbots.

Features:
- Support for multiple chatbot frameworks out-of-the-box.
- User-friendly interface for selecting chatbots.
- Persistent session storage for maintaining conversation context.
- Logging mechanism to track interactions and errors.
- Customizable configuration options for integrating new chatbots.

How to Utilize ACP Kit:
ACP Kit serves as the backbone of this application by providing the necessary adapters and protocols required to communicate with different chatbot frameworks. Use ACP Kit to initialize connections to various chatbot instances, handle message exchanges, and manage any required configurations specific to each framework.