How do I install the Install LLM Council skill?

Run npx skillmds@latest add johnalbertini14-glitch/install-llm-council in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Install LLM Council safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: CAUTION, Skill Scanner: PASS. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Install LLM Council?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Install LLM Council free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Install LLM Council?

johnalbertini14-glitch (@johnalbertini14-glitch) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Install LLM Council by johnalbertini14-glitch

Name: Install LLM Council
Rating: 4.2 (5 reviews)
Author: johnalbertini14-glitch

Install LLM Council

LLM Council — multi-model consensus app with one-command setup. Ask one question to many models, let them critique each other, get a synthesized chairman answer. OpenRouter/OpenClaw-native backend + React/Vite frontend. Zero config — credentials resolve automatically.

File contents

LLM Council (with Installer)

LLM Council — ask one question to many models, let them critique each other, get a synthesized chairman answer.

This skill is the fastest way to run it: one command installs dependencies, configures credentials, and launches both backend and frontend. No manual setup, no API key prompts.

OpenClaw-native: Credentials resolve automatically from OpenClaw config or workspace .env. Falls back to the local OpenClaw gateway (port 18789) if no OpenRouter key is found.

Two Ways to Use LLM Council

Mode	Best For	Command
Quick answer	Fast decisions, mobile, casual questions	`/council "Your question"` (requires ask-council skill)
Full discussion	Deep research, exploring disagreements, seeing all model responses	`/install-llm-council` then open browser at `:5173`

Slash Command

/install-llm-council [--mode dev|preview] [--dir PATH]

When the user says /install-llm-council, run:

bash ~/.openclaw/skills/install-llm-council/install.sh

The script will:

Resolve credentials — env var → workspace .env → OpenClaw local gateway (no prompt ever)
Clone or pull https://github.com/jeadland/llm-council to ~/workspace/llm-council
uv sync — Python backend dependencies
npm ci — frontend dependencies
Write .env — API key/URL for OpenRouter direct or OpenClaw gateway mode
Start backend — FastAPI on :8001 (background)
Start frontend — Vite dev on :5173 (background)
Print access URL — http://<pi-ip>:5173

Flags

Flag	Default	Description
`--mode dev`	`dev`	Run Vite dev server (hot reload, port 5173)
`--mode preview`	—	Build + run Vite preview (port 4173)
`--dir PATH`	`~/workspace/llm-council`	Override clone directory

Credential Resolution (OpenClaw-native)

The installer never prompts for API keys. It resolves credentials in this order:

Environment — OPENROUTER_API_KEY already exported
Workspace .env — ~/.openclaw/workspace/.env contains OPENROUTER_API_KEY=...
OpenClaw gateway — reads ~/.openclaw/openclaw.json → gateway.auth.token + gateway.port
- Sets OPENROUTER_API_URL=http://127.0.0.1:<port>/v1/chat/completions in .env
- Uses the gateway token as the bearer key (OpenAI-compatible endpoint)

Ports

Service	Port	Notes
Backend (FastAPI)	8001	Always
Frontend dev	5173	`--mode dev` (default)
Frontend preview	4173	`--mode preview`

Files

File	Purpose
`SKILL.md`	This file — skill documentation
`install.sh`	Main one-shot installer/launcher
`stop.sh`	Stop background services
`status.sh`	Check if services are running
`pids`	Saved PIDs for background processes

Agent Instructions

When user says /install-llm-council or "install llm-council" or "start llm council":

bash ~/.openclaw/skills/install-llm-council/install.sh

Report back the access URL from the script output (e.g. http://10.0.1.X:5173).

To stop:

bash ~/.openclaw/skills/install-llm-council/stop.sh

To check status:

bash ~/.openclaw/skills/install-llm-council/status.sh

Example Output

✅ LLM Council installed and running!

  Mode:     dev
  API:      openrouter
  Backend:  http://127.0.0.1:8001
  Frontend: http://10.0.1.42:5173

  Stop:     bash ~/.openclaw/skills/install-llm-council/stop.sh
  Status:   bash ~/.openclaw/skills/install-llm-council/status.sh

---name: install-llm-councildescription: LLM Council — multi-model consensus app with one-command setup. Ask one question to many models, let them critique each other, get a synthesized chairman answer. OpenRouter/OpenClaw-native backend + React/Vite frontend. Zero config — credentials resolve automatically.---# LLM Council (with Installer)**LLM Council** — ask one question to many models, let them critique each other, get a synthesized chairman answer.This skill is the fastest way to run it: one command installs dependencies, configures credentials, and launches both backend and frontend. No manual setup, no API key prompts.**OpenClaw-native:** Credentials resolve automatically from OpenClaw config or workspace `.env`. Falls back to the local OpenClaw gateway (port 18789) if no OpenRouter key is found.## Two Ways to Use LLM Council| Mode | Best For | Command ||------|----------|---------|| **Quick answer** | Fast decisions, mobile, casual questions | `/council "Your question"` (requires [ask-council](https://clawhub.com/skills/ask-council) skill) || **Full discussion** | Deep research, exploring disagreements, seeing all model responses | `/install-llm-council` then open browser at `:5173` |## Slash Command```/install-llm-council [--mode dev|preview] [--dir PATH]```When the user says `/install-llm-council`, run:```bashbash ~/.openclaw/skills/install-llm-council/install.sh```The script will:1. **Resolve credentials** — env var → workspace `.env` → OpenClaw local gateway (no prompt ever)2. **Clone or pull** `https://github.com/jeadland/llm-council` to `~/workspace/llm-council`3. **`uv sync`** — Python backend dependencies4. **`npm ci`** — frontend dependencies5. **Write `.env`** — API key/URL for OpenRouter direct or OpenClaw gateway mode6. **Start backend** — FastAPI on `:8001` (background)7. **Start frontend** — Vite dev on `:5173` (background)8. **Print access URL** — `http://<pi-ip>:5173`## Flags| Flag | Default | Description ||------|---------|-------------|| `--mode dev` | `dev` | Run Vite dev server (hot reload, port 5173) || `--mode preview` | — | Build + run Vite preview (port 4173) || `--dir PATH` | `~/workspace/llm-council` | Override clone directory |## Credential Resolution (OpenClaw-native)The installer **never prompts** for API keys. It resolves credentials in this order:1. **Environment** — `OPENROUTER_API_KEY` already exported2. **Workspace `.env`** — `~/.openclaw/workspace/.env` contains `OPENROUTER_API_KEY=...`3. **OpenClaw gateway** — reads `~/.openclaw/openclaw.json` → `gateway.auth.token` + `gateway.port` - Sets `OPENROUTER_API_URL=http://127.0.0.1:<port>/v1/chat/completions` in `.env` - Uses the gateway token as the bearer key (OpenAI-compatible endpoint)## Ports| Service | Port | Notes ||---------|------|-------|| Backend (FastAPI) | 8001 | Always || Frontend dev | 5173 | `--mode dev` (default) || Frontend preview | 4173 | `--mode preview` |## Files| File | Purpose ||------|---------|| `SKILL.md` | This file — skill documentation || `install.sh` | Main one-shot installer/launcher || `stop.sh` | Stop background services || `status.sh` | Check if services are running || `pids` | Saved PIDs for background processes |## Agent InstructionsWhen user says `/install-llm-council` or "install llm-council" or "start llm council":```bashbash ~/.openclaw/skills/install-llm-council/install.sh```Report back the access URL from the script output (e.g. `http://10.0.1.X:5173`).To stop:```bashbash ~/.openclaw/skills/install-llm-council/stop.sh```To check status:```bashbash ~/.openclaw/skills/install-llm-council/status.sh```## Example Output```✅ LLM Council installed and running! Mode: dev API: openrouter Backend: http://127.0.0.1:8001 Frontend: http://10.0.1.42:5173 Stop: bash ~/.openclaw/skills/install-llm-council/stop.sh Status: bash ~/.openclaw/skills/install-llm-council/status.sh```

Frequently asked questions