agent-framework-anthropic

v1.0.0b260604 safe
1.0
Low Risk

Anthropic integration for Microsoft Agent Framework.

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity based on the provided analysis notes. It appears to be free from risks related to network calls, shell execution, obfuscation, and credential harvesting.

  • No network calls detected
  • No shell execution patterns detected
  • No obfuscation patterns detected
  • No credential harvesting patterns detected
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet connectivity.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.

🔬 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: microsoft.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository microsoft/agent-framework 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 agent-framework-anthropic 
Develop a conversational AI assistant application named 'ConverseGuard' using the Python package 'agent-framework-anthropic'. This application will serve as a personal assistant that integrates Anthropic's Claude model into Microsoft's Agent Framework to provide users with a seamless conversational experience. ConverseGuard should be able to perform a variety of tasks including but not limited to answering user queries, providing weather updates, scheduling appointments, setting reminders, and offering news briefs.

The application should include the following features:
1. User Authentication: Users must be able to sign up and log in to use the service. The authentication process should ensure secure access to the application.
2. Conversational Interface: Utilize the 'agent-framework-anthropic' package to enable a natural language interface where users can interact with the assistant through text or voice commands.
3. Contextual Understanding: The assistant should maintain context across multiple interactions to provide more relevant responses and improve user experience.
4. Task Management: Implement functionalities to manage tasks such as scheduling appointments, setting reminders, and tracking daily activities.
5. Information Retrieval: The assistant should be capable of fetching information from various sources like news websites, weather APIs, and other web resources to answer user queries accurately.
6. Customization Options: Allow users to customize their interaction preferences, such as preferred languages, tone of communication, and specific interests.
7. Integration with External Services: Integrate the assistant with external services like email clients, calendar apps, and social media platforms for enhanced functionality.

To achieve these features, you will need to utilize the 'agent-framework-anthropic' package to establish a connection between Anthropic's Claude model and Microsoft's Agent Framework. Ensure that the application is well-documented, modular, and scalable to accommodate future enhancements.