gan-design

gan-design is a command for coding agents from mturac/everything-openai-codex. It costs 18 tokens per session (417 once invoked), scanned A, original, MIT.

A command that repeatedly generates and evaluates a frontend or visual design for a limited number of cycles. It scores design quality, originality, craft, and functionality.

In plain words
What is it for?
Use it to develop and assess frontend layouts, visual interfaces, and other design-focused work from a written brief.
Why use it?
It provides structured feedback for improving visual work instead of relying on a single attempt or an undefined review process.

Command

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.

agentmods
npx agentmods add commands/mturac/everything-openai-codex/gan-design
Clone the repo
git clone --depth 1 https://github.com/mturac/everything-openai-codex

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 gan-design

README.md
[![agentmods](https://agentmods.dev/badge/commands/mturac/everything-openai-codex/gan-design.svg)](https://agentmods.dev/commands/mturac/everything-openai-codex/gan-design)
Your own site
<a href="https://agentmods.dev/commands/mturac/everything-openai-codex/gan-design"><img src="https://agentmods.dev/badge/commands/mturac/everything-openai-codex/gan-design.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 417 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00018 $0.00417
Opus 5 $0.00009 $0.00209
Sonnet 5 $0.00004 $0.00083
Haiku 4.5 $0.00002 $0.00042

Measured yesterday against content hash f3a0b9a340ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gan-design 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 yesterday.

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

2 near-identical copies found in the catalogue:

commands/gan-design.md · 40 lines

What it actually says

Parse the following from $ARGUMENTS:

  1. brief — the user's description of the design to create
  2. --max-iterations N — (optional, default 10) maximum design-evaluate cycles
  3. --pass-threshold N — (optional, default 7.5) weighted score to pass (higher default for design)

GAN-Style Design Harness

A two-agent loop (Generator + Evaluator) focused on frontend design quality. No planner — the brief IS the spec.

This is the same mode OpenAI used for their frontend design experiments, where they saw creative breakthroughs like the 3D Dutch art museum with CSS perspective and doorway navigation.

Setup

  1. Create gan-harness/ directory
  2. Write the brief directly as gan-harness/spec.md
  3. Write a design-focused gan-harness/eval-rubric.md with extra weight on Design Quality and Originality

Design-Specific Eval Rubric

### Design Quality (weight: 0.35)
### Originality (weight: 0.30)
### Craft (weight: 0.25)
### Functionality (weight: 0.10)

Note: Originality weight is higher (0.30 vs 0.20) to push for creative breakthroughs. Functionality weight is lower since design mode focuses on visual quality.

Loop

Same as /project:gan-build Phase 2, but:

  • Skip the planner
  • Use the design-focused rubric
  • Generator prompt emphasizes visual quality over feature completeness
  • Evaluator prompt emphasizes "would this win a design award?" over "do all features work?"

Key Difference from gan-build

The Generator is told: "Your PRIMARY goal is visual excellence. A stunning half-finished app beats a functional ugly one. Push for creative leaps — unusual layouts, custom animations, distinctive color work."

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. yesterday First seen · 40 lines · 18 tokens per session scan A f3a0b9a340ec

Subscribe to this mod's changes

gan-design is a command published in the GitHub repository mturac/everything-openai-codex (89 stars, last pushed 11d ago), licensed MIT. It adds 18 tokens to every session and 417 once invoked, about $0.0001 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 2026-09-03.