Check a DeerFlow installation from code updates through deployment and basic service checks. Supports local and Docker setups, verifies frontend pages and API health, and produces a report with results and troubleshooting recommendations.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
End-to-end smoke test skill for DeerFlow. Guides through: 1) Pulling latest code, 2) Docker OR Local installation and deployment (user preference, default to Local if Docker network issues), 3) Service availability verification, 4) Health check, 5) Final test report. Use when the user says "run smoke test", "smoke test deployment", "verify installation", "test service availability", "end-to-end test", or similar.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
This skill guides the Agent through DeerFlow's full end-to-end smoke test workflow, including code updates, deployment (supporting both Docker and local installation modes), service availability verification, and health checks.
This skill supports two deployment modes:
Selection strategy:
smoke-test/
├── SKILL.md ← You are here - core workflow and logic
├── scripts/
│ ├── check_docker.sh ← Check the Docker environment
│ ├── check_local_env.sh ← Check local environment dependencies
│ ├── frontend_check.sh ← Frontend page smoke check
│ ├── pull_code.sh ← Pull the latest code
│ ├── deploy_docker.sh ← Docker deployment
│ ├── deploy_local.sh ← Local deployment
│ └── health_check.sh ← Service health check
├── references/
│ ├── SOP.md ← Standard operating procedure
│ └── troubleshooting.md ← Troubleshooting guide
└── templates/
├── report.local.template.md ← Local mode smoke test report template
└── report.docker.template.md ← Docker mode smoke test report template
git pull origin main to get the latest updatesChoose deployment mode:
Local mode environment check:
Docker mode environment check (if Docker is selected):
docker --versiondocker infodocker compose versionmake config to generate itmake config-upgradeOPENAI_API_KEYLocal mode deployment:
make checkmake installmake setup-sandboxmake start (production mode)Docker mode deployment (if Docker is selected):
make docker-initmake up (production mode)Local mode health check:
http://localhost:2026 and verify that the page loadshttp://localhost:2026/health endpoint/api/langgraph/* route exposed by Gatewaybash .agent/skills/smoke-test/scripts/frontend_check.sh to verify key routes under /workspace. The script auto-detects whether authentication is enabled and, if so, registers / logs in a smoke-test user so the real pages are verified rather than the login redirect.Docker mode health check (when using Docker):
docker ps and confirm that all containers are runninghttp://localhost:2026 and verify that the page loadshttp://localhost:2026/health endpoint/api/langgraph/* route exposed by Gatewaybash .agent/skills/smoke-test/scripts/frontend_check.sh to verify key routes under /workspace. The script auto-detects whether authentication is enabled and, if so, registers / logs in a smoke-test user so the real pages are verified rather than the login redirect.templates/; do not output a free-form summary instead of the template-based reportThe following warnings can appear during smoke testing and do not block a successful result:
adelete_for_runs or aprune, do not affect the core functionalityfrontend_check.sh script automatically handles authentication. When auth is enabled it registers / logs in a smoke-test user (smoke-test@deerflow.dev by default) to verify the real /workspace/* pages. The registration may produce a log entry from the auth provider, which is expected and harmless.Use the following tools during execution:
Smoke test pass criteria (local mode):
make check passesmake install completes successfullymake dev starts successfully/workspace key routes)Smoke test pass criteria (Docker mode):
make docker-init completes successfullymake up completes successfully/workspace key routes)Before starting execution, read the following reference files:
references/SOP.md - Detailed step-by-step operating instructionsreferences/troubleshooting.md - Common issues and solutionstemplates/report.local.template.md - Local mode test report templatetemplates/report.docker.template.md - Docker mode test report template아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Turn academic papers into structured reviews that explain findings, strengths, weaknesses, and research methods. Assess originality and supporting evidence, compare relevant literature, and provide specific improvement suggestions in a detailed review or brief summary.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Find Python input/output calls that may stall asynchronous backend work, then fix or guard each relevant path with runtime tests. Verify that tests fail when blocking behavior returns and pass after the fix is restored.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create or update a SOUL.md file that defines an AI partner’s behavior through a guided conversation. Clarify communication style, autonomy, honesty, and expectations, then review a concise English profile before saving it with setup_agent.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn data into chart images by selecting a suitable format from 26 options. Visualize trends, comparisons, distributions, flows, or relationships, then receive the image URL and the complete settings used to generate it.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Send research and analysis tasks to a running DeerFlow instance through its HTTP API, an interface for exchanging requests. Retrieve responses, continue conversations, upload documents, and inspect available models, skills, agents, and service health.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn source code into project documentation, from a README with installation steps and examples to API references, architecture diagrams, developer guides, and changelogs. Match the scope and comment format to the project's size and programming language.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.