agentic_terminal_v1

v0.1.0 suspicious
4.0
Medium Risk

MCP server that enables secure terminal execution capabilities for AI agents

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits potential risks due to shell execution capabilities and low maintainer activity, though it does not show signs of obfuscation, network calls, or credential mishandling.

  • Shell execution capability detected
  • Low maintainer activity and poor metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal and not indicative of immediate risk.
  • Shell: Shell execution patterns detected may indicate the package executes arbitrary commands or scripts, posing a potential risk for privilege escalation or other malicious activities.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The package shows several signs of low maintainer activity and poor metadata quality, raising concerns about its legitimacy.

🔬 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)

  • ess try: result = subprocess.run( command, shell=True, ch
  • ess try: result = subprocess.run( ['python', '-c', code], check=True,
  • ess try: result = subprocess.run( ['python', file], check=True,
  • port subprocess result = subprocess.run( ['findstr', pattern, file], stdout=subproce
  • command, shell=True, check=True, stdout=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 agentic_terminal_v1
Your task is to develop a secure command-line interface (CLI) utility called 'SecureAIExecutor' using the Python package 'agentic_terminal_v1'. This utility will allow users to securely execute commands on remote servers via an AI agent, ensuring that all interactions are logged and audited for security compliance.

### Project Overview:
- **Name:** SecureAIExecutor
- **Purpose:** To provide a secure, AI-driven CLI for executing commands on remote servers.
- **Key Features:**
  - Authentication: Users must authenticate before any commands are executed.
  - Command Execution: Users can input commands to be executed on remote servers.
  - Logging & Auditing: All commands and their outputs are logged and can be reviewed for auditing purposes.
  - Security Enhancements: Implementations to ensure that the communication between the client and server is secure.

### Steps to Develop the Utility:
1. **Setup Environment:** Ensure your development environment is set up with Python and the 'agentic_terminal_v1' package installed.
2. **Authentication Mechanism:** Design and implement an authentication mechanism where users must log in before they can use the tool. Consider using tokens or session-based authentication.
3. **Command Execution Interface:** Create a user-friendly CLI where users can input commands to be executed on remote servers.
4. **Utilize 'agentic_terminal_v1':** Use the 'agentic_terminal_v1' package to establish a secure connection with the remote server and execute commands through the AI agent provided by the package.
5. **Logging & Auditing:** Implement logging for all user actions and command executions. Ensure that logs are stored securely and can be accessed for auditing.
6. **Security Enhancements:** Implement additional security measures such as encryption for data in transit and at rest.
7. **Testing:** Thoroughly test the application to ensure it meets all security requirements and functions correctly.
8. **Documentation:** Provide clear documentation on how to install, configure, and use the 'SecureAIExecutor' utility.

### How 'agentic_terminal_v1' is Utilized:
- Establishing Secure Connections: Use the 'agentic_terminal_v1' package to create a secure channel between the user's machine and the remote server.
- Executing Commands: Leverage the package's capabilities to securely pass commands from the user to the remote server through the AI agent.
- Monitoring & Control: Monitor the execution of commands and control the flow of information between the user and the remote server.

By following these steps and utilizing the 'agentic_terminal_v1' package effectively, you will have developed a powerful, secure, and user-friendly tool for executing commands remotely.