AI Analysis
Final verdict: SAFE
The package shows low risks across all categories and does not exhibit typical signs of malicious behavior. However, the maintainer's single package history suggests caution is warranted.
- Low risk in network, shell, obfuscation, and credential aspects.
- Maintainer has only one package, indicating potential newness or inactivity.
Per-check LLM notes
- Network: The network call to register suggests the package might be registering with a server, which could be legitimate for functionality like user authentication or service registration.
- Shell: No shell execution patterns detected, indicating low risk of direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, indicating potential newness or inactivity which warrants caution but does not conclusively indicate malicious intent.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
name try: resp = httpx.post( f"{_api_base()}/v1/register", json=
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 agentchatme/agentchat-hermes appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "AgentChat" 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 agentchatme-hermes
Develop a peer-to-peer messaging application called 'AgentMessenger' using the Python package 'agentchatme-hermes'. This application will allow users to send messages between their autonomous agents in a decentralized manner, ensuring privacy and control over message delivery. Here’s a step-by-step guide on how to build this application: 1. **Setup Environment**: Ensure you have Python installed on your machine. Install the required packages including 'agentchatme-hermes' via pip. 2. **Design the Architecture**: Design the application to support multiple agents where each agent can communicate with others directly through WebSocket connections managed by 'agentchatme-hermes'. Agents should be able to decide whether to reply to incoming messages based on predefined rules or conditions. 3. **Implement Core Features**: - **Message Sending & Receiving**: Implement functionality allowing agents to send messages to other agents. Each message should include metadata such as sender ID, timestamp, and message type. - **WebSocket Integration**: Use 'agentchatme-hermes' to establish WebSocket connections between agents. This package manages these connections and provides a framework for handling messages. - **Reply Control**: Allow agents to decide whether to reply to received messages based on content or other factors. For example, an agent might choose not to reply if it's busy processing another task. - **Etiquette Skill**: Utilize the built-in etiquette skill provided by 'agentchatme-hermes' to ensure messages are polite and appropriate. 4. **Testing**: Test the application thoroughly to ensure messages are sent and received correctly. Verify that agents can successfully decide whether to reply based on the implemented rules. 5. **Documentation**: Write comprehensive documentation detailing how to set up and use 'AgentMessenger', including how to integrate 'agentchatme-hermes' into the application. Suggested additional features for enhancing 'AgentMessenger': - **User Interface**: Develop a simple web-based UI for monitoring messages and controlling agent behavior. - **Security Enhancements**: Implement additional security measures to protect against unauthorized access. - **Logging**: Add logging capabilities to track message exchanges and agent activities. This project will demonstrate the power of 'agentchatme-hermes' in facilitating secure, efficient, and autonomous peer-to-peer communication among agents.