OpenClaw setup checklist: six critical steps for new users

If you installed OpenClaw recently, a Reddit post from r/clawdbot provides a six-step checklist to configure your setup correctly before building anything. The author reports helping 50+ users fix preventable issues that take minutes to address initially but hours to resolve later.
Step 1: Change your default model
If you haven't modified this setting, you're likely running Opus, the most expensive model available. While excellent for complex work, it's overkill for 90% of tasks. Switch to Sonnet instead:
{
"ai": {
"model": "claude-sonnet-4-5-20250929"
}
}
One user was spending $47/week unknowingly; after this change, their next week cost $6 for the same agent and tasks.
Step 2: Lock your gateway
If running OpenClaw on a VPS, check your configuration:
openclaw config get | grep host
If it shows 0.0.0.0 or no host setting, your agent is accessible to anyone on the internet. Fix it:
{
"gateway": {
"host": "127.0.0.1"
}
}
Access through SSH tunnel: ssh -L 18789:localhost:18789 user@your-vps
Step 3: Set up SOUL.md first
Your first message should be: "Read BOOTSTRAP.md and walk me through it" to establish your agent's identity. If you skipped this, create a SOUL.md manually starting with:
you are [agent name]. you assist [your name]. be direct. no filler. match my tone. if I ask a question, answer it first. then elaborate only if needed. never say "absolutely", "great question", or "I'd be happy to." if you don't know something, say so. don't guess. if a task will cost significant tokens, tell me before doing it.
Edit it over the next week when your agent does something annoying. "Never do X" lines work better than "try to be Y" lines.
Step 4: Don't install any skills yet
Despite ClawHub having 13,000 skills, avoid installing any during your first week because:
- Some loop silently and burn tokens in the background
- Some inject into every conversation and bloat your context window
- VirusTotal flagged hundreds as malicious (infostealers, backdoors)
- You should learn stock capabilities first
After week 1, add one skill at a time, testing each for a few days.
Step 5: Don't create a second agent
Every new agent is an independent token consumer, needs its own channel binding, and complicates debugging. Get one agent working perfectly for 2 weeks before considering another.
Step 6: Learn the /new command
Every message in a session gets included in future API calls. After a week of chatting, you're sending thousands of tokens of old conversation with each new message, increasing costs and slowing responses. Type /new to start a fresh session.
📖 Read the full source: r/clawdbot
👀 See Also

Fix for Claude VS Code Extension Error: 'command claude-vscode.editor.openLast not found'
The Claude VS Code extension version 2.1.51 contains a breaking bug that causes the error 'command claude-vscode.editor.openLast not found'. The workaround is to downgrade to version 2.1.49.

How to safely run llama.cpp native tools (exec_shell_command) with multi-sandboxing on Linux
A practical guide to enabling llama.cpp native tools, especially exec_shell_command, and running them inside multiple sandboxes (Firejail + tiny Alpine VM) for safe web fetching and command execution via the llama-server web UI.

Cost-Effective OpenClaw Multi-Agent Setup Using Subscription Models
A Reddit user describes routing all OpenClaw multi-agent operations through existing $200 Anthropic Pro Max and $200 ChatGPT OpenAI Codex subscriptions instead of raw API calls, using cheaper Anthropic models for simple agents and more complex models for others.

Fix for sub-agents not showing up in OpenClaw v2026.3.13
A workaround for OpenClaw v2026.3.13 where custom sub-agents don't appear in the agent list: simplify the openclaw.json agent list to only include IDs and manually register agents in runs.json with status set to 'idle'.