mud

Operate and maintain the persistent MUD agent for OpenClaw. Use when running MUD engine commands, smoke-testing mud state behavior, validating save/restore, diagnosing MUD data issues, or handling MUD deployment operations.

3,891 stars

byopenclaw

View on GitHub Installation ↓

Best use case

mud is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using mud should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/mud/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/andrew-goetz-com/mud/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/mud/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How mud Compares

Feature / Agent	mud	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

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SKILL.md Source

# MUD

**Authors:** agigui and lia

Use this skill to run the local MUD engine safely and deterministically.

## Workflow

1. Locate the engine directory.
   - Prefer `C:\Users\openclaw\.openclaw\workspace-mud-dm\mud-agent`
   - Fallback: `C:\Users\openclaw\.openclaw\workspace\mud-agent`
2. Run a smoke test with `scripts/mud_cmd.py`.
3. Run requested MUD operations.
4. Use `references/ops.md` and `references/commands.md` for runbook details.

## Command runner

```powershell
python skills/mud/scripts/mud_cmd.py "<command>"
```

Examples (current CLI engine):

```powershell
python skills/mud/scripts/mud_cmd.py "list-races"
python skills/mud/scripts/mud_cmd.py "register-player --campaign demo --player u1 --name Hero"
python skills/mud/scripts/mud_cmd.py "new-character --campaign demo --player u1 --name Rook --race human --char-class rogue"
python skills/mud/scripts/mud_cmd.py "save --campaign demo"
python skills/mud/scripts/mud_cmd.py "check-image-cooldown --campaign demo"
python skills/mud/scripts/mud_cmd.py "generate-image --campaign demo --prompt \"A rain-soaked neon tavern\""
```

Legacy slash-command engine is auto-detected and still supported by the same wrapper.

## Notes

- Keep mechanics deterministic in engine code; use LLM for narration.
- Avoid hardcoded secrets/tokens in skill files.
- Image generation is available through engine commands (`check-image-cooldown`, `record-image`, `generate-image`) when the runtime image pipeline is configured.
- Keep this skill focused on operations and execution.

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