aagentic-terminal-mcp-prasad

v0.1.0 suspicious
4.0
Medium Risk

An MCP which adds terminal capabilities to an agent.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential risk due to its poorly maintained metadata and detection of shell execution patterns. However, there is no evidence of direct malicious activity.

  • Poorly maintained metadata
  • Detection of shell execution patterns
Per-check LLM notes
  • Network: No network calls detected, which is normal and not suspicious.
  • Shell: Detection of shell execution patterns may indicate the package performs actions that require system commands, but without context, it could also suggest potential risks like executing arbitrary code.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The package appears to be newly created with minimal effort put into its metadata, raising suspicion.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 5 shell execution pattern(s)

  • s try: result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, std
  • s try: result = subprocess.run(['python', '-c', code], check=True, stdout=subprocess.PIPE,
  • s try: result = subprocess.run(['python', file], check=True, stdout=subprocess.PIPE, stderr
  • rt subprocess result = subprocess.run( ['findstr', pattern, file], stdout=subpro
  • ult = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 8.0

4 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)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with aagentic-terminal-mcp-prasad 
Create a terminal-based personal assistant application named 'TerminalMate' using the Python package 'aagentic-terminal-mcp-prasad'. This application will serve as a command-line interface (CLI) tool that allows users to interact with a virtual assistant capable of performing various tasks such as scheduling meetings, setting reminders, checking the weather, and more. Here’s a step-by-step guide on how to build this application:

1. **Setup Environment**: Install the necessary packages including 'aagentic-terminal-mcp-prasad', along with other required dependencies like dateutil, requests, and colorama for enhanced user experience.
2. **Initialize the Application**: Create a main script where you initialize the terminal capabilities provided by 'aagentic-terminal-mcp-prasad'. Use its functions to create a responsive CLI environment.
3. **Define Core Features**:
   - **Scheduling Meetings**: Allow users to schedule meetings by specifying participants, time, and location. Ensure the assistant checks availability based on provided calendar data.
   - **Setting Reminders**: Users should be able to set reminders for specific dates and times. These reminders could be simple text messages or actions to be performed.
   - **Weather Updates**: Implement functionality to fetch and display current weather conditions for a given location.
4. **Enhance User Interaction**: Utilize the terminal capabilities to enhance user interaction. For example, use colorama to color code different types of outputs, or implement tab completion for commands.
5. **Testing and Debugging**: Thoroughly test each feature to ensure reliability. Pay special attention to edge cases such as invalid inputs or unexpected responses from external APIs.
6. **Documentation**: Write comprehensive documentation explaining how to install and use TerminalMate. Include examples of common tasks and troubleshooting tips.

In this project, 'aagentic-terminal-mcp-prasad' is crucial as it provides the foundational framework for the terminal-based interactions. It enables the application to understand and respond to user inputs effectively, enhancing the overall user experience.

💬 Discussion Feed

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