#!/usr/bin/env python3
        import json
        from datetime import datetime
        from huggingface_hub import HfApi
        import os
        
        # Use environment variable or local config file in production
        HUB_TOKEN = "hf_PLACEHOLDER_KEY" 
        
        api = HfApi(token=HUB_TOKEN)
        repo_id = "Viper14/hub-intelligence"
        
        def scan_trends():
            '''Scans HF for trending models matching targets.'''
            results = []
            for target in ["qwen2.5", "llama3"]:
                # In a real scenario, this would use the hub_repo_search tool logic
                print(f"Scanning for: {target}...") 
                results.append({"target": target, "status": "success", "timestamp": datetime.now().isoformat()})
            return results
        
        def main():
            report = {
                "scan_id": datetime.now().strftime("%Y%m%d-%H%M"),
                "results": scan_trends(),
                "sentinel_status": "active"
            }
            
            # Save locally for Sentinel to pick up, or upload directly if running remotely
            with open(f"report_{report['scan_id']}.json", 'w') as f:
                json.dump(report, f)
            print("Report generated.")
        
        if __name__ == "__main__":
            main()