← Back to Skills Marketplace
637
Downloads
0
Stars
1
Active Installs
5
Versions
Install in OpenClaw
/install ask-council
Description
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-mo...
README (SKILL.md)
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 \x3Cquestion> or "ask council":
bash ~/.openclaw/skills/ask-council/ask-council.sh "\x3Cquestion>"
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)
Usage Guidance
This skill is consistent with its stated purpose and appears to be low-risk, but check these before installing: 1) The script expects curl and python3 to be available — the skill metadata does not declare these; ensure your environment has them. 2) The script talks to a backend on localhost (127.0.0.1:8001) and constructs a local web-UI URL (port 5173). Only use this if you trust/run the LLM Council backend on your machine or network. 3) The package does not install the backend; SKILL.md suggests running /install-llm-council separately — confirm where that installer comes from. 4) The included script is small and readable (no obfuscated code), but because it will execute locally, review it yourself or run it in a safe environment if you are unsure. If you need higher assurance, ask the author for an explicit list of required binaries and a documented backend install procedure; resolving those would raise confidence to high.
Capability Analysis
Type: OpenClaw Skill
Name: ask-council
Version: 1.0.4
The skill bundle is benign. The `ask-council.sh` script interacts exclusively with a local API endpoint (`http://127.0.0.1:8001`). User input is safely escaped using `python3 -c 'import json, sys; print(json.dumps(sys.stdin.read().strip()))'` before being embedded in JSON payloads for `curl` requests, preventing shell and JSON injection. The use of `hostname -I` is for displaying a local IP address in a URL for user convenience, not for malicious network activity. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the agent within the skill's instructions or code.
Capability Assessment
Purpose & Capability
The skill's name/description (quick headless access to an LLM Council) matches the behavior in ask-council.sh: it creates a conversation, starts a run, polls until completion, and prints the chairman's answer. However, the script depends on curl and python3 (used for JSON parsing) and expects network access to localhost ports 8001/5173, yet the skill declares no required binaries or environment variables — this mismatch is operationally important though not malicious.
Instruction Scope
SKILL.md instructs the agent to run the included shell script with the user's question. The script only interacts with a local backend (API_BASE=http://127.0.0.1:8001), polls for status, and prints a local web-UI link; it does not reach out to arbitrary external hosts or attempt to read unrelated files or secrets.
Install Mechanism
This is an instruction-only skill with a bundled script (no install spec). That is low risk, but because the script will be executed on the host, users should confirm the script's contents (which were provided) and be aware there is no automated package installation. The SKILL.md references an external repo and a /install-llm-council step, but the skill package does not provide or install the backend.
Credentials
The skill requests no environment variables or external credentials and the script does not attempt to access secrets or unrelated config paths. Its only system interactions are network calls to localhost and a call to hostname -I to display a local IP.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or modify other skills or system-wide settings. It runs a single script per invocation and creates ephemeral conversations on the backend.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ask-council - After installation, invoke the skill by name or use
/ask-council - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
Clean up - working short URL support, outputs conversation link
v1.0.3
URL now includes #synthesis anchor to jump directly to chairman's answer
v1.0.2
Short URL support — conversations get 7-character IDs for easy sharing
v1.0.1
Added conversation ID and run ID to output; notes about upcoming deep link support
v1.0.0
Initial release — quick headless access to LLM Council from chat/Telegram
Metadata
Frequently Asked Questions
What is Ask Council?
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-mo... It is an AI Agent Skill for Claude Code / OpenClaw, with 637 downloads so far.
How do I install Ask Council?
Run "/install ask-council" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ask Council free?
Yes, Ask Council is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Ask Council support?
Ask Council is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ask Council?
It is built and maintained by jeadland (@jeadland); the current version is v1.0.4.
More Skills