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smoke-test

Validate DeerFlow installations with automated deployment and health checks.

Updated Aug 27, 2026
Search Tags:#end-to-end testing#smoke test#deployment verification#service health check#DeerFlow
One-click install
npx skills add https://github.com/ainlper/dra-drb2 --skill smoke-test-ainlper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: smoke-test
Source: https://github.com/ainlper/dra-drb2/tree/main/deer-flow/.agent/skills/smoke-test
Command: npx skills add https://github.com/ainlper/dra-drb2 --skill smoke-test-ainlper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, docker, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a streamlined, comprehensive approach to validating DeerFlow installations, ensuring all components are functioning correctly and services are accessible.

Core Features & Use Cases

  • End-to-End Test: Validates every aspect of the DeerFlow installation, from code update to service availability.
  • Deployment Mode Selection: Supports both local and Docker deployment, with auto-detection and fallbacks.
  • Health Check: Verifies the health of the services, including API Gateway and Frontend.

Quick Start

Run the smoke test for DeerFlow by saying "run smoke test".

Frequently Asked Questions about smoke-test

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run an end-to-end smoke test for DeerFlow deployments?▼

To run an end-to-end smoke test for DeerFlow deployments, execute a single command to automate code updates, deployment, and service health checks. This validates the entire installation from code update to service availability.

What is a DeerFlow service health check and how does it work?▼

A DeerFlow service health check verifies that the API Gateway and Frontend are accessible and functioning correctly. It automates the validation of service availability after deployment to ensure all components are running.

Do I need Python and Docker to verify DeerFlow installation configurations?▼

Yes, you need Python for scripting and Docker for containerized deployment to verify DeerFlow installation configurations. The automated health check supports both local and Docker deployment modes with auto-detection.

Can I automate deployment verification for both local and Docker environments?▼

Yes, you can automate deployment verification for both local and Docker environments. The process features auto-detection and fallbacks to handle various network and configuration scenarios with robust error handling.

Why does my DeerFlow smoke test fail during service health checks?▼

A DeerFlow smoke test may fail during service health checks due to network or configuration scenarios. The process includes robust error handling to manage these issues, verifying API Gateway and Frontend accessibility after deployment.

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