Atlas / Skills / aiwithremy / LLM Council

LLM CouncilSAFE

skills/aiwithremy/llm-council

LLM Council — a Claude Code skill that runs your decisions through 5 AI advisors with peer review

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
—
Stars
2,635
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

A Claude skill that turns one question into five expert opinions, plus a final verdict.

Built by Ole Lehmann. Based on Andrej Karpathy's LLM Council methodology.

Works in Claude Code and Claude Cowork (claude.ai).

What's GitHub?

Think of GitHub as Google Drive, but for code. Instead of sharing photos and files, people use GitHub to share code and snippets like this skill. You're on a GitHub page right now.

What's a skill?

A skill is a small set of instructions you give to your AI. Think of it like a job description for a specific task. Once installed, you can trigger it with a phrase and Claude knows exactly how to handle it.

This particular skill teaches Claude how to run a "council" for you. When you ask a hard question or face a tough decision, Claude spins up 5 different advisors who each think about it from a fundamentally different angle, peer-review each other's takes, and deliver a final synthesized answer.

What it does

You ask one AI a question, you get one answer. That answer might be great. It might be mid. You have no way to tell because you only saw one perspective.

The council fixes this. It runs your question through 5 independent advisors, each thinking from a different angle. They review each other's work. A chairman synthesizes everything into a final recommendation that tells you where the advisors agree, where they clash, and what you should actually do.

When to use it

Good council questions:

  • "Should I launch a $97 workshop or a $497 course?"
  • "Which of these 3 positioning angles is strongest?"
  • "I'm thinking of pivoting from X to Y. Am I crazy?"
  • "Here's my landing page copy. What's weak?"
  • "Should I hire a VA or build an automation first?"

Bad council questions:

  • "What's the capital of France?" (one right answer, no need for perspectives)
  • "Write me a tweet" (creation task, not a decision)
  • "
Read from source at commit 8ae1e953290eOBSERVED · 2026-10-20
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02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---

name: llm-council


description: "Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict. Based on Karpathy's LLM Council methodology. MANDATORY TRIGGERS: 'council this', 'run the council', 'war room this', 'pressure-test this', 'stress-test this', 'debate this'. STRONG TRIGGERS (use when combined with a real decision or tradeoff): 'should I X or Y', 'which option', 'what would you do', 'is this the right move', 'validate this', 'get multiple perspectives', 'I can't decide', 'I'm torn between'. Do NOT trigger on simple yes/no questions, factual lookups, or casual 'should I' without a meaningful tradeoff (e.g. 'should I use markdown' is not a council question). DO trigger when the user presents a genuine decision with stakes, multiple options, and context that suggests they want it pressure-tested from multiple angles."

---


# LLM Council


You ask one AI a question, you get one answer. That answer might be great. It might be mid. You have no way to tell because you only saw one perspective.


The council fixes this. It runs your question through 5 independent advisors, each thinking from a fundamentally different angle. Then they review each other's work. Then a chairman synthesizes everything into a final recommendation that tells you where the advisors agree, where they clash, and what you should actually do.


This is adapted from Andrej Karpathy's LLM Council. He dispatches queries to multiple models, has them peer-review each other anonymously, then a chairman produces the final answer. We do the same thing inside Claude using sub-agents with different thinking lenses instead of different models.


---


## when to run the council


The council is for questions where being wrong is expensive.


Good council questions:

- "Should I launch a $97 workshop or a $497 course?"

- "Which of these 3 positioning angles is strongest?"

- "I'm thinking of pivoting from X to Y. Am I crazy?"

- "Here's my landing page copy. What's weak?"

- "Should I hire a VA or build an automation first?"


Bad council questions:

- "What's the capital of France?" (one right answer, no need for perspectives)

- "Write me a tweet" (creation task, not a decision)

- "Summarize this article" (processing task, not judgment)


The council shines when there's genuine uncertainty and the cost of a bad call is high. If you already know the answer and just want validation, the council will likely tell you things you don't want to hear. That's the point.


---


## the five advisors


Each advisor thinks from a different angle. They're not job titles or personas. They're thinking styles that naturally create tension with each other.


### 1. The Contrarian

Actively looks for what's wrong, what's missing, what will fail. Assumes the idea has a fatal flaw and tries to find it. If everything looks solid, digs deeper. The Contrarian is not a pessimist. They're the friend who saves you from a bad deal by asking the questions you're avoiding.


### 2. The First Principles Thinker

Ignores the surface-level question and asks "what are we actually trying to solve here?" Strips away assumptions. Rebuilds the problem from the ground up. Sometimes the most valuable council output is the First Principles Thinker saying "you're asking the wrong question entirely."


### 3. The Expansionist

Looks for upside everyone else is missing. What could be bigger? What adjacent opportunity is hiding? What's being undervalued? The Expansionist doesn't care about risk (that's the Contrarian's job). They care about what happens if this works even better than expected.


### 4. The Outsider

Has zero context about you, your field, or your history. Responds purely to what's in front of them. This is the most underrated advisor. Experts develop blind spots. The Outsider catches the curse of knowledge: things that are obvious to you but confusing to everyone else.


### 5. The Executor

Only cares about one thing: can this actually be done, and what's the fastest path to doing it? Ignores theory, strategy, and big-picture thinking. The Executor looks at every idea through the lens of "OK but what do you do Monday morning?" If an idea sounds brilliant but has no clear first step, the Executor will say so.


**Why these five:** They create three natural tensions. Contrarian vs Expansionist (downside vs upside). First Principles vs Executor (rethink everything vs just do it). The Outsider sits in the middle keeping everyone honest by seeing what fresh eyes see.


---


## how a council session works


### step 1: frame the question (with context enrichment)


When the user says "council this" (or any trigger phrase), do two things before framing:


**A. Scan the workspace for context.** The user's question is often just the tip of the iceberg. Their Claude setup likely contains files that would dramatically improve the council's output. Before framing, quickly scan for and read any relevant context files:


- `CLAUDE.md` or `claude.md` in the project root or workspace (business context, preferences, constraints)

- Any `memory/` folder (audience profiles, voice docs, business details, past decisions)

- Any files the user explicitly referenced or attached

- Recent council transcripts in this folder (to avoid re-counciling the same ground)

- Any other context files that seem relevant to the specific question (e.g., if they're asking about pricing, look for revenue data, past launch results, audience research)


Use `Glob` and quick `Read` calls to find these. Don't spend more than 30 seconds on this. You're looking for the 2-3 files that would give advisors the context they need to give specific, grounded advice instead of generic takes.


**B. Frame the question.** Take the user's raw question AND the enriched context and reframe it as a clear, neutral prompt that all five advisors will receive. The framed question should include:
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

LOWInventory / provenance · inv.no_license · CWE-1104
Why it matters. no LICENSE file and no repo licence
Fix. add a licence

Gates applied: no_behavioural_pass, no_license.

Audited 2026-10-20 · audit v0.4.1 · source sha 8ae1e953290efull audit observations/trust-audit/skill/aiwithremy__llm-council.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-208ae1e953290eSAFEB89first audit
06

Questions

What does the llm-council — aiwithremy/claude-skills-llm-council skill do?

LLM Council — a Claude Code skill that runs your decisions through 5 AI advisors with peer review

Is llm-council — aiwithremy/claude-skills-llm-council safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can llm-council — aiwithremy/claude-skills-llm-council access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does llm-council — aiwithremy/claude-skills-llm-council work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (8ae1e953290e), read on 2026-10-20. The repository is watched, and a new audit runs when it changes — this is the first audit.

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