Home / rohitg00 / pro-workflow · skills/llm-council/SKILL.md · GitHub

llm-council skillA

llm-council is agent-read markdown (skill) from rohitg00/pro-workflow: Provider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Provider config from env (OPENAI/ANTHROPIC/FIREWORKS/OPENROUTER/custom OpenAI-compatible base URL). Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# LLM Council

Karpathy's LLM Council pattern, provider-agnostic. dair-academy's version hardcoded Fireworks; ours reads any OpenAI-compatible endpoint via env.

## When to use

- High-stakes plan review (`/plan` crosses N-file threshold)
- Conflicting learning-rules → re-resolve via vote
- User invokes `/council "<query>"` or `/wiki council`
- Architecture decisions where you want multiple viewpoints captured
- Persisting deliberation as a wiki page for future reference

## Three phases

1. **Independent**: each model answers in parallel
2. **Ranking**: each model ranks anonymized peer responses
3. **Synthesis**: chairman model reads all responses + rankings → final answer

## Provider config

Provider chosen via env. First-match wins:

| Env var | Provider | Default base URL |
|---------|----------|------------------|
| `ANTHROPIC_API_KEY` | Anthropic | `https://api.anthropic.com` |
| `OPENAI_API_KEY` | OpenAI | `https://api.openai.com/v1` |
| `OPENROUTER_API_KEY` | OpenRouter | `https://openrouter.ai/api/v1` |
| `FIREWORKS_API_KEY` | Fireworks | `https://api.fireworks.ai/inference/v1` |
| `LLM_COUNCIL_BASE_URL` + `LLM_COUNCIL_API_KEY` | Custom OpenAI-compat | (user-supplied) |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add rohitg00/pro-workflow/llm-council@git:20260718.7f7209d
Exact content
mdr add rohitg00/pro-workflow/llm-council@sha256:7028e87a3ec6aacf

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

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Versions

versioncommittedcommitsizeaudit
git:20260718.7f7209d latest2026-07-18 7f7209d 3,802 BA view · diff
git:20260509.de80bff2026-05-09 de80bff 3,781 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3802 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

rohitg00/pro-workflow · 2,879 stars · license none · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bjd6ebmfffzo5dor
GET https://markdownregistry.com/api/v1/resolve?ref=rohitg00/pro-workflow/llm-council
GET https://markdownregistry.com/api/v1/blob/7028e87a3ec6aacf3c929dd508edeb288487c25c519d7e148ff366239e03ca57

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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