version: "1.0.1" name: sealos-deploy description: Deploy compatible server, static-web, worker, scheduled-job, or reviewed remote-desktop workloads from GitHub or local source to Sealos Cloud, then run the default Runtime Truth Pass against the returned App URL, public route, authentication flow, logs, database state, and full resource footprint. Reject unsupported desktop, mobile, CLI, library, extension, hardware-dependent, mixed, and unidentified targets before readiness scoring or build. Use when the user asks to deploy a repository to Sealos or another cloud platform, or invokes "/sealos-deploy". metadata: author: labring compatibility: Sealos auth/workspace are required for deploys. Docker, buildx, and gh CLI are required only when the selected path needs local build/push. git is required when cloning from a GitHub URL or when git metadata is needed. Node.js 18+ remains an optional accelerator. Phase 5 requires Python 3.8+ with PyYAML; root Compose conversion also requires kompose and may require crane when image tags are floating.

Sealos Deploy

Compatibility

Sealos auth/workspace are required for deploys. Docker, buildx, and gh CLI are required only when the selected path needs local build/push. git is required when cloning from a GitHub URL or when git metadata is needed. Node.js 18+ remains an optional accelerator. Phase 5 requires Python 3.8+ with PyYAML; root Compose conversion also requires kompose and may require crane when image tags are floating.

Brain Managed Mode

The skill has two deliberately separate execution modes:

• Local mode is the existing interactive workflow. It is selected when SEALAI_DEPLOY_MODE is absent or has any value other than managed; its auth, prompts, Template API flow, and output remain unchanged.
• Managed mode is selected only when SEALAI_DEPLOY_MODE=managed. The Devbox Codex is the deployment executor: it analyzes, builds, applies, observes, diagnoses, repairs, and verifies with the injected kubeconfig. Brain is the task control plane and form owner; it is not a second Kubernetes executor.

Managed mode is non-interactive. Do not start OAuth, install tools, ask for confirmation in the turn, or replace a missing callback with a file, webhook, curl request, or a Brain-side apply. Before doing any work, confirm that the Codex tool registry contains both exact MCP tools template_ready and deployment_completed. If either tool is unavailable, stop with a managed-mode fatal error; never claim a deployment result.

Brain supplies these task-scoped values through the environment:

SEALAI_DEPLOY_MODE=managed
SEALAI_DEPLOY_TASK_ID=<task id>
SEALAI_PROJECT_ID=<Brain project id>
SEALAI_NAMESPACE=<target namespace>
SEALAI_INPUTS_PATH=/run/sealai/deployment/inputs.json
SEALAI_TURN_DEADLINE_AT=<absolute deadline>

Use the injected kubeconfig/context for every Kubernetes command. Do not perform login or switch workspace. Keep the input file and kubeconfig out of prompts, logs, Timeline text, and generated artifacts; read the input file only when the managed flow says to do so.

The actual Sealos Instance name is owned by the Template/Skill path. Brain does not pre-allocate it and the managed adapter does not add Brain identity labels or extraLabels.

Deploy compatible cloud workloads to Sealos Cloud, stopping unsupported targets before build or deployment.

kubectl Safety Rules (all phases)

All kubectl commands MUST use the Sealos kubeconfig:

KUBECONFIG=~/.sealos/kubeconfig kubectl --insecure-skip-tls-verify

System tool installation requires user confirmation. If docker, gh, or kubectl is missing and the skill can install it for the current platform, ask first and only run the install command after the user explicitly replies y.

`kubectl delete` requires user confirmation. Before deleting any resource (deployment, service, ingress, PVC, database, etc.), always ask:

WARNING: About to delete <resource kind>/<resource name>. This data cannot be recovered. Confirm? (y/n)

Only proceed after user confirms. This applies even if the pipeline logic suggests deletion — always ask first.

Template API cleanup must include Instance CRs. Deployments created through scripts/deploy-template.mjs create instances.app.sealos.io/<app-name> in addition to App/workload resources. A cleanup is incomplete until instances.app.sealos.io, apps.app.sealos.io, workloads, Services, Ingresses, PVCs, and Pods are all checked.

Use this check when cleaning Template API test deployments:

KUBECONFIG=~/.sealos/kubeconfig kubectl --insecure-skip-tls-verify -n "$NS" \
  get instances.app.sealos.io,app,statefulset,deployment,svc,ingress,pvc,pod | grep "$APP"

Delete in this order after confirmation:

KUBECONFIG=~/.sealos/kubeconfig kubectl --insecure-skip-tls-verify -n "$NS" delete instances.app.sealos.io "$APP" --ignore-not-found --wait=false
KUBECONFIG=~/.sealos/kubeconfig kubectl --insecure-skip-tls-verify -n "$NS" delete app "$APP" --ignore-not-found --wait=false
KUBECONFIG=~/.sealos/kubeconfig kubectl --insecure-skip-tls-verify -n "$NS" delete statefulset "$APP" --ignore-not-found --wait=false
KUBECONFIG=~/.sealos/kubeconfig kubectl --insecure-skip-tls-verify -n "$NS" delete deployment "$APP" --ignore-not-found --wait=false
KUBECONFIG=~/.sealos/kubeconfig kubectl --insecure-skip-tls-verify -n "$NS" delete ingress "$APP" --ignore-not-found --wait=false
KUBECONFIG=~/.sealos/kubeconfig kubectl --insecure-skip-tls-verify -n "$NS" delete svc "$APP" --ignore-not-found --wait=false
KUBECONFIG=~/.sealos/kubeconfig kubectl --insecure-skip-tls-verify -n "$NS" get pvc -o name | grep "$APP" | while read -r PVC; do
  KUBECONFIG=~/.sealos/kubeconfig kubectl --insecure-skip-tls-verify -n "$NS" delete "$PVC" --ignore-not-found --wait=false
done

Anti-example: do not report cleanup complete after only checking app,statefulset,svc,ingress,pvc,pod; that misses instances.app.sealos.io/<app-name> and leaves the Sealos Instance layer dirty.

Usage

/sealos-deploy <github-url>
/sealos-deploy                    # deploy current project
/sealos-deploy <local-path>

Quick Start

Execute the modules in order:

1. modules/preflight.md — Environment checks & Sealos auth
2. modules/pipeline.md — Full deployment pipeline (Phase 1–6)
3. modules/runtime-truth.md — Post-deploy Runtime Truth Pass (Phase 6.5)

Logging

Every run MUST write a log file at ~/.sealos/logs/deploy-<YYYYMMDD-HHmmss>.log.

At the very start of execution, create the log file once:

mkdir -p ~/.sealos/logs
LOG_FILE=~/.sealos/logs/deploy-$(date +%Y%m%d-%H%M%S).log
echo "[$(date '+%Y-%m-%d %H:%M:%S')] Deploy started" > "$LOG_FILE"

Important: create the log file ONLY ONCE at the start. All subsequent writes MUST append (`>>`) to this same `$LOG_FILE`. Do NOT create a second log file.

At each phase boundary, append a log entry to the same file with Bash >>:

[2026-03-05 14:30:01] === Phase 0: Preflight ===
[2026-03-05 14:30:01] Docker: ✓ 27.5.1
[2026-03-05 14:30:01] Node.js: ✓ 22.12.0
[2026-03-05 14:30:02] Sealos auth: ✓ (region: <REGION from config.json>)
[2026-03-05 14:30:02] Project: /Users/dev/myapp (github: https://github.com/owner/repo)
 
[2026-03-05 14:30:03] === Phase 1: Assess ===
[2026-03-05 14:30:03] Score: 9/12 (good)
[2026-03-05 14:30:03] Language: python, Framework: fastapi, Port: 8000
[2026-03-05 14:30:03] Decision: CONTINUE
 
[2026-03-05 14:30:04] === Phase 2: Detect Image ===
[2026-03-05 14:30:05] Docker Hub: owner/repo:latest (arm64 only, no amd64)
[2026-03-05 14:30:05] GHCR: not found
[2026-03-05 14:30:05] Decision: no amd64 image → continue to Phase 3
 
[2026-03-05 14:30:06] === Phase 3: Dockerfile ===
[2026-03-05 14:30:06] Existing Dockerfile: none
[2026-03-05 14:30:07] Generated: python-fastapi template, port 8000
 
[2026-03-05 14:30:08] === Phase 4: Build & Push ===
[2026-03-05 14:30:08] Registry: ghcr (auto-detected via gh CLI)
[2026-03-05 14:30:30] Build: ✓ ghcr.io/zhujingyang/repo:20260305-143022
[2026-03-05 14:30:32] GHCR pullability: private package detected — deploy will auto-create image pull Secret from gh CLI
[2026-03-05 14:30:33] IMAGE_REF=ghcr.io/zhujingyang/repo:20260305-143022
 
[2026-03-05 14:30:34] === Phase 5: Template ===
[2026-03-05 14:30:35] Output: .sealos/template/index.yaml
 
[2026-03-05 14:30:36] === Phase 6: Deploy ===
[2026-03-05 14:30:36] Deploy URL: https://template.gzg.sealos.run/api/v2alpha/templates/raw
[2026-03-05 14:30:38] Status: 201 — deployed successfully
[2026-03-05 14:30:38] === DONE ===

On error, log the error details before stopping:

[2026-03-05 14:30:10] === ERROR ===
[2026-03-05 14:30:10] Phase: 4 (Build & Push)
[2026-03-05 14:30:10] Error: docker buildx build failed — "npm ERR! Missing script: build"
[2026-03-05 14:30:10] Retry: 1/3

At the very end, tell the user where the log is:

Log saved to: ~/.sealos/logs/deploy-20260305-143001.log

Scripts

Located in scripts/ within this skill directory (<SKILL_DIR>/scripts/):

All scripts output JSON. Run via Bash and parse the result.

For public web applications, run sealos-launchpad-network.mjs before HTTP smoke. Acceptance requires ok: true, an open public network, the expected Service port, and an App URL host match. The script emits an allowlisted network summary and excludes raw Launchpad application data, environment variables, Secrets, and kubeconfig content.

Runtime Event acceptance uses two scans. Capture the first report after readiness with no baseline, wait at least 60 seconds, then pass that report through --baseline for the final scan. Extend --min-window-seconds to cover one full known reconciliation, probe, or scheduled-work period. An initial Warning Event is an observation; a Warning that advances after the baseline, an unresolved referenced Secret, a Ready transition, a Pod replacement, or a restart delta is an active failure.

For intentional fault injection, retain a pre-injection report as evidence. After recovery reaches Ready, capture a fresh recovery baseline and compare the final scan against that recovery baseline after the full stability window.

Internal Skill Dependencies

This skill references knowledge files from co-installed internal skills. These are not user-facing — they are loaded on-demand during specific phases.

<SKILL_DIR> refers to the directory containing this SKILL.md. Sibling skills are at <SKILL_DIR>/../:

<SKILL_DIR>/../
├── sealos-deploy/           ← this skill (user entry point) = <SKILL_DIR>
├── dockerfile-skill/        ← Phase 3: Dockerfile generation knowledge
├── cloud-native-readiness/  ← Phase 0.4 eligibility policy + Phase 1 assessment criteria
└── docker-to-sealos/       ← Phase 5: Sealos template rules

Paths used in pipeline.md follow the pattern:

<SKILL_DIR>/../dockerfile-skill/knowledge/error-patterns.md
<SKILL_DIR>/../dockerfile-skill/templates/<lang>.dockerfile
<SKILL_DIR>/../docker-to-sealos/references/sealos-specs.md

Phase Overview

Decision Flow

Input (GitHub URL / local path)
  │
  ▼
[Phase 0] Preflight ── fail → guide user to fix and STOP
  │ pass
  ▼
[Phase 0.5] Template fast path
  │
  ├── materialized template match ───────┐
  │                                      │
  ▼                                      │
[Phase 1] Assess ── not suitable → STOP with reason
  │ suitable
  ▼
[Phase 2] Detect existing image
  │
  ├── found (amd64) ────────────────────┐
  │                                     │
  ▼                                     │
[Phase 3] Dockerfile (generate/reuse)   │
  │                                     │
  ▼                                     │
[Phase 4] Build & Push to registry      │
  │                                     │
  ◄─────────────────────────────────────┘
  │
  ▼
[Phase 5] Generate Sealos Template
  ◄──────────────────────────────────────┘
  │
  ▼
[Phase 5.5] Configure ── present env vars → ask user for inputs → confirm
  │
  ▼
[Phase 6] Deploy to Sealos Cloud ── 401 → re-auth
│                                  409 → instance exists
▼
[Phase 6.5] Runtime Truth Pass ── network/runtime/log/login issue → debug template or runtime config
│
▼
Done — app deployed ✓

Execution rule: Phase 1 must never start while Phase 0 still has unresolved entry blockers. Docker, gh, builder, and registry failures must be reported early, but only become hard blockers if the run later requires local build/push.