agentdraft-langchain

v0.1.0 suspicious
4.0
Medium Risk

LangChain tools for AgentDraft — let LangChain, LangGraph, CrewAI, and AutoGen agents book calendars through the coordination layer without colliding.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a low risk in terms of network, shell, and obfuscation activities, but it raises concerns due to the lack of maintainer history and incomplete author information.

  • Metadata risk due to incomplete author profile
  • No maintainer history available
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires network functionality.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package appears suspicious due to its lack of maintainer history and an incomplete author profile, suggesting potential risks.

🔬 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: agentdraft.io>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 agentdraft-langchain 
Create a calendar management system using the 'agentdraft-langchain' Python package. This system will allow multiple AI agents (such as LangChain, LangGraph, CrewAI, and AutoGen) to schedule meetings and events on various calendars without conflicts. The application should be able to handle the following tasks:

1. **Agent Registration**: Each AI agent must register with the system, providing details such as name, type, and preferred calendar service.
2. **Calendar Synchronization**: Agents should be able to synchronize their calendars with the system. This includes importing existing events and subscriptions to calendars.
3. **Event Booking**: Implement functionality where agents can request to book a meeting slot. The system should check for availability across all registered calendars and propose suitable times.
4. **Conflict Resolution**: If a proposed meeting time conflicts with an existing event, the system should automatically suggest alternative times or notify the relevant parties to resolve the conflict manually.
5. **Notifications**: Send notifications to all participants about confirmed meetings, including location, duration, and any other necessary details.
6. **Analytics Dashboard**: Provide a dashboard for users to view analytics on booking trends, agent usage, and calendar performance.

**How to Use 'agentdraft-langchain':** 
- Utilize 'agentdraft-langchain' to coordinate between different AI agents and ensure smooth communication and data exchange.
- Leverage the package's capabilities to manage scheduling requests, conflict resolution, and notifications efficiently.
- Integrate the package's features to create a seamless user experience for both AI agents and human users managing the system.

This project aims to demonstrate the versatility and efficiency of 'agentdraft-langchain' in handling complex scheduling tasks involving multiple AI entities.