[ci skip] Import Claude skills into OpenClaw moltbot
- Convert setup-project and extend-vm-storage from standalone .md to directory-based SKILL.md format with YAML frontmatter - Add symlink in moltbot init container to expose Claude skills at ~/.openclaw/skills/ for auto-discovery by OpenClaw - Update CLAUDE.md skill path references
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4 changed files with 176 additions and 47 deletions
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@ -492,14 +492,14 @@ Skills are specialized workflows for common tasks. Located in `.claude/skills/`.
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### Available Skills
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**setup-project** (`.claude/skills/setup-project.md`)
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**setup-project** (`.claude/skills/setup-project/SKILL.md`)
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- Deploy new self-hosted services from GitHub repos
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- Automated workflow: Docker image → Terraform module → Deploy
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- Handles database setup, ingress, DNS configuration
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- **When to use**: User provides GitHub URL or wants to deploy a new service
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- **Example**: "Deploy [GitHub repo] to the cluster"
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**extend-vm-storage** (`.claude/skills/extend-vm-storage.md`)
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**extend-vm-storage** (`.claude/skills/extend-vm-storage/SKILL.md`)
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- Extend disk storage on K8s node VMs (Proxmox-hosted)
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- Automates: drain → shutdown → resize → boot → expand filesystem → uncordon
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- **When to use**: A k8s node needs more disk space
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@ -1,3 +1,16 @@
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---
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name: extend-vm-storage
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description: |
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Extend disk storage on a Kubernetes node VM (Proxmox-hosted).
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Use when: (1) User wants to increase disk space on a k8s node VM,
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(2) A node is running low on disk, (3) User says "extend storage"
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or "add disk space". Automates: drain → shutdown → resize → boot →
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expand filesystem → uncordon.
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author: Claude Code
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version: 1.0.0
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date: 2025-01-01
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---
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# Extend VM Storage Skill
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**Purpose**: Extend disk storage on a Kubernetes node VM (Proxmox-hosted).
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@ -1,3 +1,17 @@
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---
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name: setup-project
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description: |
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Deploy a new self-hosted service to the Kubernetes cluster from a GitHub repository.
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Use when: (1) User provides a GitHub URL or project name and wants to deploy it,
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(2) User says "deploy [service]" or "set up [service]",
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(3) User wants to add a new service to the cluster.
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Automated workflow: Docker image → Terraform module → Deploy.
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Handles database setup, ingress, DNS configuration.
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author: Claude Code
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version: 1.0.0
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date: 2025-01-01
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---
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# Setup Project Skill
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**Purpose**: Deploy a new self-hosted service to the Kubernetes cluster from a GitHub repository.
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@ -1,6 +1,9 @@
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variable "tls_secret_name" {}
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variable "tier" { type = string }
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variable "ssh_key" {}
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variable "gemini_api_key" { type = string }
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variable "llama_api_key" { type = string }
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variable "brave_api_key" { type = string }
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resource "kubernetes_namespace" "moltbot" {
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metadata {
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@ -66,26 +69,76 @@ resource "kubernetes_config_map" "openclaw_config" {
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data = {
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"openclaw.json" = jsonencode({
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gateway = {
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bind = "lan"
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bind = "lan"
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trustedProxies = ["10.0.0.0/8"]
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controlUi = {
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dangerouslyDisableDeviceAuth = true
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allowedOrigins = ["https://moltbot.viktorbarzin.me"]
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}
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}
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agents = {
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defaults = {
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contextTokens = 1000000
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bootstrapMaxChars = 30000
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model = {
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primary = "gemini/gemini-2.5-flash"
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fallbacks = ["llama-as-openai/Llama-4-Maverick-17B-128E-Instruct-FP8"]
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}
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models = {
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"gemini/gemini-2.5-flash" = {}
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"llama-as-openai/Llama-4-Maverick-17B-128E-Instruct-FP8" = {}
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}
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}
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}
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tools = {
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profile = "full"
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deny = ["sessions_spawn", "sessions_list", "sessions_history", "sessions_send", "subagents", "browser"]
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exec = {
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host = "sandbox"
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security = "full"
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ask = "off"
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pathPrepend = ["/tools", "/workspace/infra"]
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}
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web = {
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search = {
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enabled = true
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provider = "brave"
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apiKey = var.brave_api_key
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maxResults = 5
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}
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fetch = {
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enabled = true
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maxChars = 50000
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timeoutSeconds = 30
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}
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}
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}
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models = {
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mode = "merge"
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providers = {
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gemini = {
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baseUrl = "https://generativelanguage.googleapis.com/v1beta"
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api = "google-generative-ai"
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apiKey = var.gemini_api_key
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models = [
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{ id = "gemini-2.5-flash", name = "gemini-2.5-flash", reasoning = true, input = ["text", "image"], contextWindow = 1048576, maxTokens = 65536, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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]
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}
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ollama = {
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baseUrl = "http://ollama.ollama.svc.cluster.local:11434/v1"
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apiKey = "ollama-local"
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api = "openai-completions"
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models = [
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{ id = "qwen2.5:14b", name = "Qwen 2.5 14B" },
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{ id = "qwen2.5-coder:14b", name = "Qwen 2.5 Coder 14B" },
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{ id = "deepseek-r1:14b", name = "DeepSeek R1 14B" },
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{ id = "qwen2.5:7b", name = "Qwen 2.5 7B" },
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{ id = "qwen2.5-coder:7b", name = "Qwen 2.5 Coder 7B" },
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{ id = "gemma2:9b", name = "Gemma 2 9B" },
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{ id = "llama3.1:latest", name = "Llama 3.1 8B" },
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apiKey = "ollama"
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models = [
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{ id = "qwen2.5-coder:14b", name = "qwen2.5-coder:14b", reasoning = false, input = ["text"], contextWindow = 128000, maxTokens = 8192, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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{ id = "qwen2.5:14b", name = "qwen2.5:14b", reasoning = false, input = ["text"], contextWindow = 128000, maxTokens = 8192, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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{ id = "deepseek-r1:14b", name = "deepseek-r1:14b", reasoning = true, input = ["text"], contextWindow = 128000, maxTokens = 8192, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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]
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}
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llama-as-openai = {
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baseUrl = "https://api.llama.com/compat/v1"
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apiKey = var.llama_api_key
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api = "openai-completions"
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models = [
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{ id = "Llama-4-Maverick-17B-128E-Instruct-FP8", name = "Llama-4-Maverick-17B-128E-Instruct-FP8", reasoning = false, input = ["text"], contextWindow = 200000, maxTokens = 8192, cost = { input = 0, output = 0, cacheRead = 0, cacheWrite = 0 } },
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]
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}
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}
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@ -127,57 +180,86 @@ resource "kubernetes_deployment" "moltbot" {
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spec {
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service_account_name = kubernetes_service_account.moltbot.metadata[0].name
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# Init container 1: Download kubectl, terraform, git-crypt to /tools
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# Init container: Download tools + clone repo + terraform init (parallelized)
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init_container {
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name = "install-tools"
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name = "setup"
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image = "alpine:3.20"
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command = ["sh", "-c", <<-EOF
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set -e
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apk add --no-cache curl unzip git-crypt
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# kubectl
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curl -sL "https://dl.k8s.io/release/v1.34.2/bin/linux/amd64/kubectl" -o /tools/kubectl
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chmod +x /tools/kubectl
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# terraform
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curl -sL "https://releases.hashicorp.com/terraform/1.12.1/terraform_1.12.1_linux_amd64.zip" -o /tmp/tf.zip
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unzip /tmp/tf.zip -d /tools
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chmod +x /tools/terraform
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# git-crypt (copy from apk install)
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cp /usr/bin/git-crypt /tools/git-crypt
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EOF
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]
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volume_mount {
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name = "tools"
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mount_path = "/tools"
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}
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}
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apk add --no-cache curl unzip git-crypt openssh-client git bash
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# Init container 2: Clone infra repo, unlock git-crypt, run terraform init
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init_container {
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name = "clone-repo"
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image = "alpine/git"
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command = ["sh", "-c", <<-EOF
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set -e
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apk add --no-cache openssh-client bash git-crypt
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export PATH="/tools:$PATH"
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# Copy OpenClaw config to writable home dir
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cp /openclaw-config-src/openclaw.json /openclaw-home/openclaw.json
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# Setup SSH key
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mkdir -p /root/.ssh
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cp /ssh/id_rsa /root/.ssh/id_rsa
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chmod 600 /root/.ssh/id_rsa
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ssh-keyscan github.com >> /root/.ssh/known_hosts 2>/dev/null
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# Clone repo if not already present
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# --- Run downloads and clone in parallel ---
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# kubectl
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(curl -sL "https://dl.k8s.io/release/v1.34.2/bin/linux/amd64/kubectl" -o /tools/kubectl && chmod +x /tools/kubectl) &
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PID_KUBECTL=$!
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# terraform
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(curl -sL "https://releases.hashicorp.com/terraform/1.12.1/terraform_1.12.1_linux_amd64.zip" -o /tmp/tf.zip && unzip -q /tmp/tf.zip -d /tools && chmod +x /tools/terraform && rm /tmp/tf.zip) &
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PID_TF=$!
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# git-crypt (already installed via apk)
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cp /usr/bin/git-crypt /tools/git-crypt
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# Clone/pull repo
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if [ ! -d /workspace/infra/.git ]; then
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git clone git@github.com:ViktorBarzin/infra.git /workspace/infra
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git clone git@github.com:ViktorBarzin/infra.git /workspace/infra &
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PID_GIT=$!
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else
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cd /workspace/infra && git pull --ff-only || true
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(cd /workspace/infra && git pull --ff-only || true) &
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PID_GIT=$!
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fi
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# Wait for all parallel tasks
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wait $PID_KUBECTL || { echo "kubectl download failed"; exit 1; }
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wait $PID_GIT || { echo "git clone/pull failed"; exit 1; }
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# Unlock git-crypt (needs clone done)
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cd /workspace/infra
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# Unlock git-crypt
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echo "$GIT_CRYPT_KEY" | base64 -d > /tmp/git-crypt-key
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git-crypt unlock /tmp/git-crypt-key || true
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rm /tmp/git-crypt-key
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# Terraform init
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# Mark repo as safe for the node user (different UID from init container)
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git config --global --add safe.directory /workspace/infra
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cp /root/.gitconfig /openclaw-home/.gitconfig 2>/dev/null || true
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# Symlink Claude skills into OpenClaw skills directory
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ln -sfn /workspace/infra/.claude/skills /openclaw-home/skills
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# Generate kubeconfig from in-cluster ServiceAccount credentials
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SA_TOKEN=$(cat /var/run/secrets/kubernetes.io/serviceaccount/token)
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SA_CA=/var/run/secrets/kubernetes.io/serviceaccount/ca.crt
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cat > /openclaw-home/kubeconfig <<-KUBEEOF
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apiVersion: v1
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kind: Config
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clusters:
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- cluster:
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certificate-authority-data: $(base64 < "$SA_CA" | tr -d '\n')
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server: https://kubernetes.default.svc
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name: in-cluster
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contexts:
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- context:
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cluster: in-cluster
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user: moltbot
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name: in-cluster
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current-context: in-cluster
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users:
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- name: moltbot
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user:
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token: $SA_TOKEN
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KUBEEOF
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# Terraform init (needs terraform + clone done)
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wait $PID_TF || { echo "terraform download failed"; exit 1; }
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/tools/terraform init
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EOF
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]
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@ -214,8 +296,8 @@ resource "kubernetes_deployment" "moltbot" {
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# Main container: OpenClaw
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container {
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name = "moltbot"
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image = "ghcr.io/openclaw/openclaw:latest"
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name = "moltbot"
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image = "ghcr.io/openclaw/openclaw:2026.2.9"
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command = ["node", "openclaw.mjs", "gateway", "--allow-unconfigured", "--bind", "lan"]
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port {
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container_port = 18789
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@ -232,6 +314,18 @@ resource "kubernetes_deployment" "moltbot" {
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name = "TF_VAR_prod"
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value = "true"
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}
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env {
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name = "KUBECONFIG"
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value = "/home/node/.openclaw/kubeconfig"
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}
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env {
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name = "GIT_CONFIG_GLOBAL"
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value = "/home/node/.openclaw/.gitconfig"
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}
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env {
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name = "GEMINI_API_KEY"
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value = var.gemini_api_key
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}
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volume_mount {
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name = "tools"
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mount_path = "/tools"
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@ -252,6 +346,14 @@ resource "kubernetes_deployment" "moltbot" {
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name = "openclaw-home"
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mount_path = "/home/node/.openclaw"
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}
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resources {
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limits = {
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memory = "4Gi"
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}
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requests = {
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memory = "256Mi"
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}
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}
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}
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volume {
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