🧪 Skills

MUD

Operate and maintain the persistent MUD agent for OpenClaw. Use when running MUD engine commands, smoke-testing mud state behavior, validating save/restore,...

v1.0.1
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Description


name: mud description: 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.

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

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

Examples (current CLI engine):

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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Compatible Platforms

Pricing

Free

Related Configs