openclaw-secure-linux-cloud
Use when self-hosting OpenClaw on a cloud server, hardening a remote OpenClaw gateway, choosing between SSH tunneling, Tailscale, or reverse-proxy exposure, or reviewing Podman, pairing, sandboxing, token auth, and tool-permission defaults for a secure personal deployment.
What this skill does
# OpenClaw Secure Linux Cloud ## Overview Use this skill for the conservative "deploy first, expose later" pattern for OpenClaw on a cloud server. Default to a private control plane: - Harden the Linux host before exposing anything. - Keep the gateway bound to `127.0.0.1`. - Reach the Control UI through an SSH tunnel first. - Keep token authentication, pairing, and sandboxing enabled. - Start with a narrow tool profile and loosen only with an explicit need. This skill is for secure Linux cloud hosting. If the user only wants the fastest generic OpenClaw install on a local machine, prefer the official OpenClaw onboarding docs instead of forcing this flow. Open [`references/REFERENCE.md`](./references/REFERENCE.md) when you need the command matrix, baseline config shape, checklist, or access-path comparison. ## When To Use Use this skill when the user mentions any of the following: - OpenClaw on a cloud server, VM, or other Linux host - Secure self-hosting, hardening, or "run it privately" - Podman, loopback binding, SSH tunneling, or remote Control UI access - Tailscale vs reverse proxy for OpenClaw - Pairing, sandboxing, token auth, or locked-down tool permissions - Reviewing whether an existing OpenClaw host is too exposed Do not use this skill for: - General Linux hardening with no OpenClaw component - Local single-machine onboarding where remote access is irrelevant - Pure local onboarding with no remote-host hardening questions - Non-Linux hosting unless the user explicitly wants this Linux-first pattern adapted ## Workflow ### 1. Classify the request Put the task in one of these buckets before giving detailed guidance: 1. **Fresh deploy**: the user wants to stand up OpenClaw securely on a Linux cloud host from scratch. 2. **Hardening review**: the user already has OpenClaw running and wants to reduce exposure or audit risky defaults. 3. **Access-model decision**: the user is choosing between SSH tunneling, Tailscale, or a reverse proxy. ### 2. Start from the secure baseline Unless the user clearly asks for something else, recommend this baseline: - Harden the Linux host first: updates, SSH keys, SSH lock-down, and a default-deny inbound firewall matched to the distro. - Run OpenClaw under rootless Podman rather than as a root-owned long-lived process. - Keep the gateway on loopback only. - Keep the Control UI private and access it through an SSH tunnel. - Require token authentication. - Keep pairing enabled for inbound messaging channels. - Start with a minimal tool set and sandbox sessions by default. Treat these as explicit red flags: - Binding the gateway to `0.0.0.0` - Opening port `18789` to the public internet - Turning on broad runtime, filesystem, automation, or browser access by default - Leaving `~/.openclaw` readable by other local users ### 3. Separate local and server actions Always distinguish between: - **Local machine actions**: SSH key generation, tunnel setup, browser access - **Server actions**: Linux hardening, Podman install path, OpenClaw service setup, config permissions, service restarts Do not blur the two execution contexts together. The user should be able to tell which commands run on their laptop and which run on the Linux host. ### 4. Ask only for blocking facts Only stop for missing facts that change the safe path, such as: - Linux distro and host access details when package-manager or firewall commands matter - Whether OpenClaw is already installed - Whether the user truly needs repeated remote private access or public access - Whether an existing deployment is already reachable from the internet If a detail is not safety-critical, make the reasonable secure assumption and state it. ### 5. Use the access escalation ladder Recommend remote access in this order: 1. **SSH tunnel**: default for first deployment and personal use 2. **Tailscale**: next step when the user needs repeated private access across trusted devices 3. **Reverse proxy**: only when the user explicitly needs public exposure and accepts the extra hardening burden If the user asks for Tailscale or reverse proxy, still explain why the loopback binding and private-first model remain the baseline. ## Output Expectations For a fresh deployment, provide: - A short architecture summary - Local-vs-server steps - A conservative config baseline - A pre-launch checklist - A short "what not to expose" warning For a hardening review, provide: - The likely risks in the current setup - A prioritized remediation sequence - Any immediate exposure concerns to fix before anything else For an access-path decision, provide: - A recommendation - Why it is the lowest-risk fit - What extra safeguards are required if the user chooses a broader exposure model ## Common Mistakes - Treating OpenClaw like a normal public web app on day one - Assuming auth alone replaces network boundaries - Turning on more tool power before the user has a clear workflow that needs it - Disabling pairing just to save time during early setup - Skipping follow-up audits after changing config or sandbox settings ## Reference Usage Use [`references/REFERENCE.md`](./references/REFERENCE.md) when you need: - The cross-distro hardening flow and Debian/Ubuntu example commands - The Podman-based OpenClaw setup outline - The baseline config skeleton - The pre-launch checklist - The day-to-day audit commands - The SSH tunnel vs Tailscale vs reverse-proxy comparison
Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.