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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.

andrew-goetz-com0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install andrew-goetz-com/mud

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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.

Source information

Source
github
Repository
openclaw/skills
Path
skills/andrew-goetz-com/mud
Version
—
Commit
974518956aeb2f6b82705f2a912f9880c218e229
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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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