🤖 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.