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Hadokennn
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smoke-test

Automate DeerFlow smoke tests covering code updates, deployment, and health checks.

5|Updated Mar 28, 2026
Search Tags:#deployment#end-to-end testing#smoke test#service health check#DeerFlow
One-click install
npx skills add https://github.com/Hadokennn/deer-agents --skill smoke-test-hadokennn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: smoke-test
Source: https://github.com/Hadokennn/deer-agents/tree/main/deer-flow/.agent/skills/smoke-test
Command: npx skills add https://github.com/Hadokennn/deer-agents --skill smoke-test-hadokennn

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the comprehensive smoke testing of the DeerFlow platform, ensuring that all services are functioning correctly with minimal manual intervention.

Core Features & Use Cases

  • Full Workflow Automation: Automates the smoke test workflow including code updates, deployment, service availability verification, and health checks.
  • Deployment Mode Flexibility: Supports both local and Docker deployment modes, allowing users to choose their preferred environment.
  • End-to-End Verification: Verifies the complete end-to-end functionality of DeerFlow, from code update to service health check.

Quick Start

Run 'run smoke test' to initiate the smoke test for DeerFlow.

Frequently Asked Questions about smoke-test

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

FAQPage Schema
How do I automate end-to-end smoke testing for DeerFlow deployments?▼

Automate DeerFlow smoke testing by running a comprehensive workflow that verifies code updates, deployment modes, service availability, and health checks with minimal manual intervention.

Can I run a smoke test for DeerFlow using both local and Docker deployment modes?▼

Yes, DeerFlow smoke testing supports both local and Docker deployment modes, allowing you to verify end-to-end service availability and health checks in your preferred environment.

What dependencies do I need to perform a DeerFlow service health check?▼

To perform a DeerFlow service health check, you need Python, Docker, lsof, and curl installed to execute the end-to-end verification scripts and validate deployment availability.

What is the best way to verify DeerFlow service availability after a code update?▼

The best way to verify DeerFlow service availability after a code update is to run an automated smoke test that validates the complete end-to-end functionality from deployment to health check.

Why does my DeerFlow smoke test require lsof and curl to complete successfully?▼

The DeerFlow smoke test requires lsof and curl because these tools automate the verification of service availability and execute the health checks necessary for end-to-end deployment validation.

When should I use an automated smoke test workflow for DeerFlow platform validation?▼

You should use an automated smoke test workflow for DeerFlow platform validation during pre-deployment to ensure all services function correctly and end-to-end availability is verified before release.

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