How do I install the Ask Council skill?

Run npx skillmds@latest add dvcrn/ask-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 Ask 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: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ask 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 Ask Council free to use?

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

Who published Ask Council?

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

Ask Council by dvcrn — Agent Skill

Name: Ask Council
Rating: 4.5 (4 reviews)
Author: dvcrn

File contents

Ask Council — Quick Headless Access

Get LLM Council's synthesized answer without leaving your chat.

Usage

/council Should I invest in Tesla right now?

Returns the Chairman's synthesized answer after all models have debated.

How It Works

Sends your question to the LLM Council backend
Waits for Stage 1 (all models respond)
Waits for Stage 2 (models rank each other)
Returns Stage 3 (Chairman's final synthesis)

Takes 30-60 seconds — models need time to deliberate.

Prerequisites

LLM Council backend must be running:

/install-llm-council

Two Ways to Use LLM Council

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

Example

Input:

/council Is Python or Go better for a new microservice?

Output:

Council is deliberating... (this may take 30-60s)
................

═══════════════════════════════════════════════════════════════
                    CHAIRMAN'S ANSWER
═══════════════════════════════════════════════════════════════

Based on the council's deliberation, Python is recommended for rapid 
prototyping and team velocity, while Go excels for high-throughput 
services where performance is critical...

═══════════════════════════════════════════════════════════════

View full discussion: http://10.0.1.184:5173

Agent Instructions

When user says /council <question> or "ask council":

bash ~/.openclaw/skills/ask-council/ask-council.sh "<question>"

The script handles:

Creating a conversation
Starting the council run
Polling until complete
Extracting the chairman's answer
Showing progress dots while waiting

Files

File	Purpose
`SKILL.md`	Documentation
`ask-council.sh`	Main script — queries API and returns answer
`_meta.json`	Skill metadata

Notes

Timeout: 120 seconds
If backend isn't running, suggests starting it
Always includes link to full web UI for detailed exploration
Creates a new conversation each time (no history)

---name: ask-councildescription: Ask LLM Council a question directly from Telegram/chat — get the chairman's synthesized answer without opening the web UI. Quick, headless access to multi-model consensus.---# Ask Council — Quick Headless AccessGet LLM Council's synthesized answer without leaving your chat.## Usage```/council Should I invest in Tesla right now?```Returns the **Chairman's synthesized answer** after all models have debated.## How It Works1. Sends your question to the LLM Council backend2. Waits for Stage 1 (all models respond)3. Waits for Stage 2 (models rank each other)4. Returns Stage 3 (Chairman's final synthesis)**Takes 30-60 seconds** — models need time to deliberate.## PrerequisitesLLM Council backend must be running:```/install-llm-council```## Two Ways to Use LLM Council| Mode | Best For | Command ||------|----------|---------|| **Quick answer** (this skill) | Fast decisions, mobile, casual questions | `/council "question"` || **Full discussion** (web UI) | Deep research, exploring disagreements, seeing all model responses | `/install-llm-council` then open browser |## Example**Input:**```/council Is Python or Go better for a new microservice?```**Output:**```Council is deliberating... (this may take 30-60s)................═══════════════════════════════════════════════════════════════ CHAIRMAN'S ANSWER═══════════════════════════════════════════════════════════════Based on the council's deliberation, Python is recommended for rapid prototyping and team velocity, while Go excels for high-throughput services where performance is critical...═══════════════════════════════════════════════════════════════View full discussion: http://10.0.1.184:5173```## Agent InstructionsWhen user says `/council <question>` or "ask council":```bashbash ~/.openclaw/skills/ask-council/ask-council.sh "<question>"```The script handles:- Creating a conversation- Starting the council run- Polling until complete- Extracting the chairman's answer- Showing progress dots while waiting## Files| File | Purpose ||------|---------|| `SKILL.md` | Documentation || `ask-council.sh` | Main script — queries API and returns answer || `_meta.json` | Skill metadata |## Notes- Timeout: 120 seconds- If backend isn't running, suggests starting it- Always includes link to full web UI for detailed exploration- Creates a new conversation each time (no history)

Frequently asked questions

Ask Council