agent-framework-github-copilot

v1.0.0rc1 suspicious
4.0
Medium Risk

GitHub Copilot integration for Microsoft Agent Framework.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risk factors such as no network calls, shell execution, obfuscation, or credential harvesting. However, the incomplete author metadata and potential inactivity of the author increase the suspicion level, warranting further investigation before use.

  • Incomplete author metadata
  • Potential inactivity of the author
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external communication.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's information is incomplete, and the author seems to be new or inactive, which raises some concerns but does not definitively indicate malicious intent.

🔬 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-github-copilot 
Create a Python-based code completion assistant application that integrates the 'agent-framework-github-copilot' package to provide intelligent code suggestions based on GitHub Copilot's capabilities within the Microsoft Agent Framework environment. This application will serve as a desktop utility for developers, enhancing their coding experience by offering real-time code completions, snippets, and suggestions directly within their IDEs or text editors.

### Project Steps:
1. **Setup Environment**: Ensure your development environment is set up with Python, pip, and the necessary libraries including 'agent-framework-github-copilot'.
2. **Application Structure**: Design a simple yet effective GUI using a library such as PyQt5 or Tkinter to facilitate user interaction.
3. **Integration of 'agent-framework-github-copilot'**: Utilize the 'agent-framework-github-copilot' package to enable GitHub Copilot functionalities within your application. This includes setting up the agent framework to communicate effectively with GitHub Copilot services.
4. **Feature Implementation**:
   - Implement a feature that allows users to input code snippets and receive instant suggestions from GitHub Copilot.
   - Develop a history panel where users can view previous interactions and suggestions provided by the assistant.
   - Include a settings menu where users can customize their preferences for code suggestion types, language support, and more.
5. **Testing and Debugging**: Thoroughly test the application to ensure all features work as expected, debug any issues encountered during testing.
6. **Documentation**: Write clear documentation explaining how to install, configure, and use the application.
7. **Deployment**: Prepare the application for deployment, ensuring it runs smoothly across different operating systems.

### Suggested Features:
- **Real-Time Code Suggestions**: Provide immediate feedback and suggestions as the user types.
- **Customizable Settings**: Allow users to tailor their experience by adjusting various settings related to code suggestion behavior.
- **History Log**: Maintain a log of past interactions to help users track their progress and revisit old suggestions.
- **Language Support**: Offer support for multiple programming languages to cater to a broader audience.

By following these steps and implementing the suggested features, you'll create a valuable tool that leverages the power of 'agent-framework-github-copilot' to enhance developer productivity and satisfaction.