A specialized operational interface for running, testing, and maintaining persistent Multi-User Dungeon engines within the OpenClaw ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mud
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mud using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MUD Engine Agent?
The MUD skill is a critical component for developers looking to operate local game engines safely and deterministically. By integrating this into Openclaw Skills, users gain a standardized workflow for managing complex game states, performing smoke tests, and diagnosing data issues. This skill acts as a bridge between high-level narration and low-level engine mechanics, ensuring that while the story is fluid, the underlying game rules remain consistent and reliable.
Built to handle both modern CLI engine commands and legacy slash-command protocols, this tool simplifies the deployment and maintenance of persistent gaming environments. It emphasizes the separation of deterministic logic from LLM-driven content, making it an essential asset for anyone building interactive, agent-based gaming experiences within Openclaw Skills.
MUD Engine Agent Use Cases
- Running local MUD engine commands and smoke-testing state behavior.
- Validating save and restore procedures to ensure long-term data persistence.
- Managing player registration, character creation, and race configuration for RPG campaigns.
- Automating image generation workflows for rain-soaked neon taverns or other immersive environments.
- Diagnosing MUD data issues and handling complex deployment operations in a sandbox environment.
How MUD Engine Agent Works
- The skill identifies the active engine directory within the Openclaw Skills workspace, prioritizing specific user-level paths.
- Initial validation is performed via a smoke test using the mud_cmd script to ensure engine stability.
- The agent executes requested operations, such as character management or world-building, through a unified Python wrapper.
- Advanced runbook details are pulled from local reference documentation to ensure command accuracy.
- Deterministic mechanics are processed by the engine while the narrative layer is handled by an LLM for a seamless user experience.
MUD Engine Agent Setup
To begin using the MUD engine within Openclaw Skills, ensure your workspace is correctly mapped to the agent directory. Use the provided Python wrapper to execute commands:
# List available races in the current engine
python skills/mud/scripts/mud_cmd.py "list-races"
# Register a new player to a specific campaign
python skills/mud/scripts/mud_cmd.py "register-player --campaign demo --player u1 --name Hero"
MUD Engine Agent Data Schema & Taxonomy
| Data Component | Description |
|---|---|
| Engine Workspace | Dedicated directory for agent logic and persistent MUD state files. |
| Campaign Metadata | JSON-structured data defining player statistics, classes, and races. |
| Operational Runbooks | Reference Markdown files (ops.md, commands.md) used for command validation. |
| Image Pipeline | Metadata tracking for image cooldowns, generation prompts, and recorded assets. |
MUD Engine Agent Advanced Features
- Multi-generational engine support with automatic detection for legacy slash-command wrappers.
- Integrated image generation pipeline including cooldown management and asset recording.
- Deterministic state persistence ensuring reliable save and restore operations across sessions.
- Decoupled architecture that keeps mechanics deterministic while allowing LLMs to handle creative narration.
- Comprehensive CLI wrapper for executing complex multi-parameter engine commands within Openclaw Skills.
SKILL.md
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