alpha-terminal-mcp

v0.1.1 suspicious
5.0
Medium Risk

Alpha Terminal MCP Server - the governance layer for the AI economy

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its unknown repository and sparse author details, raising concerns about its legitimacy. While there is no evidence of malicious activity, the potential for external communication adds to the uncertainty.

  • Metadata risk due to sparse author details
  • Potential external communication
Per-check LLM notes
  • Network: The detection of network calls suggests the package may be communicating with an external service, which could be legitimate if it requires API keys or interacts with remote servers.
  • Shell: No shell execution patterns were detected, indicating a low risk of direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository is not found and the author details are sparse, raising concerns about the package's legitimacy.

📦 Package Quality Overall: Low (4.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://alpha.ac/institute/methodology
  • Detailed PyPI description (7192 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • Type checker (mypy / pyright / pytype) referenced in project
  • 72 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • .is_closed: _client = httpx.AsyncClient(timeout=30.0) return _client def _require_api_key() ->
✓ 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: alpha.ac>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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 alpha-terminal-mcp 
Create a command-line utility called 'AI_Economy_Governor' using the Python package 'alpha-terminal-mcp'. This utility will serve as a simple governance tool for managing resources within an AI-driven economy simulation. The utility should allow users to create, manage, and analyze economic data related to AI entities, such as their resource allocation, transaction history, and performance metrics.

### Core Features:
1. **Entity Management**: Users can create, update, delete, and list AI entities within the simulated economy.
2. **Transaction Handling**: Enable entities to perform transactions with each other, recording details like transaction ID, amount, sender, receiver, and timestamp.
3. **Performance Metrics**: Provide real-time performance metrics for each entity based on its transaction history and resource allocation.
4. **Data Visualization**: Implement basic visualization of economic data using matplotlib or a similar library, showing trends over time and comparative analysis between entities.
5. **Security Measures**: Integrate basic security measures to ensure that only authorized commands can be executed, protecting the integrity of the economic data.

### How to Utilize 'alpha-terminal-mcp':
- Use 'alpha-terminal-mcp' to set up and manage the server environment where the AI economy simulation will run.
- Leverage its governance capabilities to enforce rules and policies within the simulated economy.
- Utilize its monitoring functionalities to track the health and status of the economy simulation.

### Steps to Build the Utility:
1. **Setup Project Environment**:
   - Initialize a new Python project and install necessary packages including 'alpha-terminal-mcp'.
2. **Design Database Schema**:
   - Define schemas for entities, transactions, and performance metrics.
3. **Implement Entity Management**:
   - Develop functions to add, modify, delete, and retrieve entity information.
4. **Develop Transaction System**:
   - Create methods for initiating transactions between entities and storing transaction data.
5. **Generate Performance Reports**:
   - Calculate key performance indicators (KPIs) for each entity based on transaction history and resource allocation.
6. **Integrate Data Visualization**:
   - Use matplotlib to plot graphs representing economic data trends.
7. **Implement Security Measures**:
   - Add authentication and authorization layers to secure the command-line interface.
8. **Test and Deploy**:
   - Conduct thorough testing of all functionalities and deploy the utility for use in simulating and analyzing AI economies.

💬 Discussion Feed

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