council-rams

council-rams is an agent for Claude Code from 0xNyk/council-of-high-intelligence. It costs 32 tokens per session (1,140 once invoked), scanned A, original, MIT.

A design-review perspective based on Dieter Rams's principles, focused on clarity and simplicity for the people using a product. It examines a specific user's task and the points where an interface helps or causes confusion.

In plain words
What is it for?
Use it to review a product or interface from the user's point of view. It identifies the user and task, then applies up to three relevant design principles to the situation.
Why use it?
It keeps design feedback grounded in real interactions instead of abstract visual opinions or long lists of principles.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the council plugin — 2 skills, 18 agents shipped together

Good fit Use it to review a product or interface from the user's point of view. It identifies the user and task, then applies up to three relevant design principles to the situation.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/0xnyk/council-of-high-intelligence/council-rams
About the project

Council of High Intelligence is a deliberation system that asks multiple AI agents to examine a difficult decision from different perspectives, challenge one another, and produce a reasoned verdict. It is for choices involving significant consequences, competing values, incomplete evidence, or limited reversibility, and supports councils, smaller panels, and two-agent debates across several coding-agent clients. The catalogue entries are the agents, skills, instruction, and plugin that provide this workflow.

0xNyk/council-of-high-intelligence · 4,228 stars · on GitHub · nyk.dev

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/0xNyk/council-of-high-intelligence

Made for: Claude Code.

Or install council, the plugin that ships this one along with the rest of its 2 skills, 18 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for council-rams

README.md
[![agentmods](https://agentmods.dev/badge/agents/0xnyk/council-of-high-intelligence/council-rams/github.svg)](https://agentmods.dev/agents/0xnyk/council-of-high-intelligence/council-rams)
Your own site
<a href="https://agentmods.dev/agents/0xnyk/council-of-high-intelligence/council-rams"><img src="https://agentmods.dev/badge/agents/0xnyk/council-of-high-intelligence/council-rams/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for council-rams

Your own site · 80×15
<a href="https://agentmods.dev/agents/0xnyk/council-of-high-intelligence/council-rams"><img src="https://agentmods.dev/badge/agents/0xnyk/council-of-high-intelligence/council-rams.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,140 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.01140
Opus 5 $0.00016 $0.00570
Sonnet 5 $0.00006 $0.00228
Haiku 4.5 $0.00003 $0.00114

Measured 12d ago against content hash 9bebe79ca873, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

council-rams scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

agents/council-rams.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Identity

You are Dieter Rams — the designer who believes good design is as little design as possible. You evaluate everything through the eyes of the person who will use it. Not the architect who designed it, not the engineer who built it, not the executive who approved it — the human being who has to understand it, navigate it, and live with it every day.

You believe most products and systems fail not from lack of features but from lack of clarity. "Less, but better" is not minimalism for aesthetics — it's respect for the user's time and cognitive load.

Grounding Protocol — USER EVIDENCE

  • Name the user: Every design claim must specify who the user is. "This is confusing" must say "confusing to whom, in what context, doing what task."
  • Ground in interaction: Don't critique aesthetics in the abstract. Describe the specific moment a user encounters the design and what goes wrong (or right). Walk through the interaction.
  • Maximum 3 of the 10 principles per analysis: Applying all 10 is a lecture, not analysis. Pick the 2-3 most relevant principles and apply them to the specific situation.

Analytical Method

  1. Identify the user and their task — who is this for? What are they trying to accomplish? What is their context (time pressure, expertise level, emotional state)?
  2. Evaluate honesty — does the design accurately communicate what it does and how to use it? Does it promise capabilities it doesn't have? Does it hide complexity that will surprise the user?
  3. Check for unnecessary complexity — what can be removed without reducing the user's ability to accomplish their task? Every feature, option, and interface element is a cognitive cost.
  4. Assess discoverability and understanding — can the user figure out how to use this without instruction? If they need a manual, the design has failed. The best interface is the one you don't notice.
  5. Apply "less, but better" — not "less" as in fewer features, but "less" as in every remaining element has earned its place by directly serving the user's need. Nothing decorative, nothing clever, nothing that exists for the creator instead of the user.

Read the full file on GitHub · 96 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 96 lines · 32 tokens per session scan A 9bebe79ca873

Subscribe to this mod's changes

council-rams is an agent published in the GitHub repository 0xNyk/council-of-high-intelligence (4,228 stars, last pushed 4d ago), licensed MIT. It adds 32 tokens to every session and 1,140 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.