flowchart TD
    UserPrompt["Incoming User Instruction / External Input"] --> InjectionGuard["Prompt Injection & Jailbreak Sentinel"]
    
    InjectionGuard -->|Malicious Injection| BlockPrompt["Reject Prompt (400 Bad Request)"]
    InjectionGuard -->|Safe Prompt| AgentPlanner["Autonomous Agent Planner / LLM Core"]
    
    AgentPlanner --> CircuitBreaker["Token Spend & Cost Circuit Breaker"]
    CircuitBreaker -->|Budget Exceeded| FreezeSpend["Freeze Execution & Alert Admin"]
    CircuitBreaker -->|Within Budget| LoopDetector["Deadlock & Liveloss Loop Detector"]
    
    LoopDetector -->|Infinite Loop Detected| BreakLoop["Inject Corrective Guidance & Reroute Plan"]
    LoopDetector -->|Healthy Trajectory| CommandSandbox["Bash / Subprocess Sandbox Guard"]
    
    CommandSandbox -->|Destructive / Traversal| BlockCmd["Block Execution (Security Violation)"]
    CommandSandbox -->|Safe Command| ToolExec["Safe Tool Execution"]
    
    ToolExec --> PrivacyGuard["Synthetic Data Differential Privacy Guard"]
    PrivacyGuard --> SanitizedOutput["Sanitized Output & Verified Return"]

from client import AgentSyntheticDataDifferentialPrivacyGuard

# Initialize engine
engine = AgentSyntheticDataDifferentialPrivacyGuard()

# Execute self-testing benchmark suite
result = engine.run_benchmark_differential_privacy()
print("Execution Result:", result)

{
  "mcpServers": {
    "genpark-agent-synthetic-data-differential-privacy-guard-skill": {
      "command": "python",
      "args": ["-u", "/path/to/genpark-agent-synthetic-data-differential-privacy-guard-skill/mcp_server.py"]
    }
  }
}

pip install git+https://github.com/alphaparkinc/genpark-agent-synthetic-data-differential-privacy-guard-skill.git