Health Check Endpoints

The health-check-endpoints skill enables AI agents to automatically verify the availability and status of external services, APIs, or internal infrastructure. It performs routine diagnostic checks to ensure system components are responding correctly before relying on them for tasks.

When to use it

• Pre-flight verification: Confirm that a payment gateway or database is online before initiating a transaction-heavy workflow.
• Dependency monitoring: Continuously check if third-party APIs (e.g., weather services, translation engines) remain accessible during long-running operations.
• Post-deployment validation: Automatically test new microservices immediately after deployment to catch connectivity issues early.
• Scheduled maintenance checks: Run periodic health scans to detect service outages or latency spikes before they impact user experience.

Key capabilities

• Sends HTTP requests to specified endpoints to retrieve status codes and response times.
• Evaluates server responses to determine if a service is healthy, degraded, or down.
• Logs check results for audit trails and alerting purposes.
• Supports custom headers and authentication tokens for secure endpoint access.

Example prompts

• "Run a health check on our primary database connection and the external weather API before starting the daily report generation."
• "Monitor the status of all microservices in our production cluster every 15 minutes and alert me if any return a 500 error."
• "Verify that the payment processing endpoint is reachable and responding within 200ms before allowing users to checkout."

Tips & gotchas

Ensure your AI agent has valid network permissions and necessary API keys configured, as health checks often require authentication. Avoid over-checking high-traffic endpoints to prevent adding unnecessary load during peak usage times.