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digitalknk

openclaw-runbook

Unofficial OpenClaw runbook for running agents day to day without burning money, exposing your gateway, or trusting random automation.

TutorialsTool-specific tutorialsAstro
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Created 2026-02-10 · Updated 2026-10-14 · #11558 today
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digitalknk/openclaw-runbook is ranked 11,558 with 1,110 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageAstro
CategoryTutorials
SubcategoryTool-specific tutorials
KeywordsDevOps, Guardrails, Memory management, Security
Stars1,110
Forks94
Contributors3
Created date2026-02-10
Updated date2026-10-14
Stars in 1 day0
Stars in 7 days-2
Rank11,558
Previous rank5,995
Rank change-5,563
7-day stars rank18,361
Previous 7-day stars rank17,290
7-day stars rank change-1,071
Total stars rank10,288
Previous total stars rank10,278
Total stars rank change-10
README summary

OpenClaw Runbook Checked against OpenClaw at commit ( ) Example config based on a working setup This repo is a practical runbook for running OpenClaw day to day without burning money, exposing your gateway, or trusting random automation you did not inspect. It is not official OpenClaw documentation. It is the way I run OpenClaw after enough broken configs, noisy agents, and avoidable risk to want something predictable. What this is A runbook for people who want OpenClaw to run for weeks

, not minutes Opinionated guidance on models, access, memory, automation, and guardrails Tailscale-first for dashboard/control access Skeptical of third-party skills by default Written from the post-honeymoon phase What this is not A beginner replacement for the official docs A model leaderboard A ClawHub install guide A claim that my exact config is right for everyone Access stance My setup uses Tailscale as the normal access path, including when I am local. The Gateway stays loopback-bound, and

Tailscale handles remote access. If you do not want to sign up for Tailscale, keep OpenClaw local and use a messaging channel such as Telegram for remote use. Avoid public ports and casual LAN exposure unless you know exactly what boundary you are accepting. Skills stance I do not recommend blindly installing third-party skills from ClawHub. Use ClawHub as a discovery and source-reading tool. Find an idea, inspect the source, then ask your agent to rebuild a local

skill for your setup. The example config keeps disabled on purpose. The guide The main guide lives here: guide. md It covers the current setup flow, Tailscale-first access, model routing, memory, automation, skills, and security. Examples The directory contains templates and references: sanitized-config. json - Current sanitized config reference config-example-guide. md - Config section reference agent-prompts. md - Specialized agent examples spawning-patterns. md - Current and subagent patterns heartbeat-example. md - Heartbeat checklist and pattern task-tracking-prompt

. md - Using OpenClaw's task ledger instead of an external black box security-hardening. md - Security baseline and audit workflow security-quickstart. md - Prompts for applying basic guardrails security-patterns. md - VPS setup with Tailscale as the default remote access path skill-builder-prompt. md - Prompt template for rebuilding local skills check-quotas. sh - Optional quota check helper Showcases The directory contains automation patterns you can adapt: daily-brief - Morning summary with weather, calendar, and tasks idea-pipeline - Overnight research on

captured ideas linkedin-drafter - Weekly draft generation tech-discoveries - Curated tech news homelab-access - Safer remote SSH through Telegram confirmations agent-orchestrator - Route coding tasks to configured agents/tools coeus-knowledge-base - Local semantic knowledge base example autonomous-operation - Community-contributed health-check pattern claworc - Community-contributed review of an external control-plane project Treat showcases as starting points. Review tool access, channels, delivery targets, and model choices before running them unattended. Some showcases are community contributions or external project

reviews; keep their attribution intact. Share This If this guide helped you, please consider: sharing it with others who might

Frequently asked questions

How many stars and forks are recorded?

digitalknk/openclaw-runbook has 1,110 stars and 94 forks.

What is the repository rank?

digitalknk/openclaw-runbook is ranked 11,558.

What language and category are recorded?

digitalknk/openclaw-runbook has 1,110 stars, uses Astro and belongs to Tutorials.

Which repository is closest in rank?

digitalknk/openclaw-runbook is compared with burness/tensorflow-101, ranked 11,557 with 1,110 stars.

README

OpenClaw Runbook

Checked against OpenClaw at commit 5dccba7405 (2026-05-25) Example config based on a working 2026.5.x setup

This repo is a practical runbook for running OpenClaw day to day without burning money, exposing your gateway, or trusting random automation you did not inspect.

It is not official OpenClaw documentation. It is not a universal best setup. It is the way I run OpenClaw after enough broken configs, noisy agents, and avoidable risk to want something predictable.

What this is

  • A runbook for people who want OpenClaw to run for weeks, not minutes
  • Opinionated guidance on models, access, memory, automation, and guardrails
  • Tailscale-first for dashboard/control access
  • Skeptical of third-party skills by default
  • Written from the post-honeymoon phase

What this is not

  • A beginner replacement for the official docs
  • A model leaderboard
  • A ClawHub install guide
  • A claim that my exact config is right for everyone

Access stance

My setup uses Tailscale as the normal access path, including when I am local. The Gateway stays loopback-bound, and Tailscale handles remote access.

If you do not want to sign up for Tailscale, keep OpenClaw local and use a messaging channel such as Telegram for remote use. Avoid public ports and casual LAN exposure unless you know exactly what boundary you are accepting.

Skills stance

I do not recommend blindly installing third-party skills from ClawHub.

Use ClawHub as a discovery and source-reading tool. Find an idea, inspect the source, then ask your agent to rebuild a local skill for your setup. That is slower than clicking install, but it is safer than trusting unknown code, broad tool assumptions, hidden behavior, or token-heavy abstractions.

The example config keeps clawhub disabled on purpose.

The guide

The main guide lives here:

It covers the current setup flow, Tailscale-first access, model routing, memory, automation, skills, and security.

Examples

The examples/ directory contains templates and references:

Showcases

The showcases/ directory contains automation patterns you can adapt:

Treat showcases as starting points. Review tool access, channels, delivery targets, and model choices before running them unattended. Some showcases are community contributions or external project reviews; keep their attribution intact.

Share This

If this guide helped you, please consider:

  • sharing it with others who might find it useful;
  • linking back if you reference it in blog posts, videos, or other resources;
  • submitting your own showcases so others can learn from your setup.

This is a community resource. The more people contribute real working patterns, the better it gets.

Community resources

Contributing

Contributions are welcome, but this is not a free-for-all.

Please read CONTRIBUTING.md before opening issues or pull requests.

License

MIT

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