gan-style-harness

npx skills add mturac/everything-openai-codex --skill gan-style-harness --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

# GAN-Style Harness Skill > Inspired by [OpenAI's Harness Design for Long-Running Application Development](https://www.openai.com/engineering/harness-design-long-running-apps) (March 24, 2026) A multi-agent harness that separates **generation** from **evaluation**, creating an adversarial feedback loop that drives quality far beyond what a single agent can achieve. ## Core Insight > When asked to evaluate their own work, agents are pathological optimists — they praise mediocre output and talk themselves out of legitimate issues. But engineering a **separate evaluator** to be ruthlessly strict is far more tractable than teaching a generator to self-critique. This is the same dynamic as GANs (Generative Adversarial Networks): the Generator produces, the Evaluator critiques, and that feedback drives the next iteration. ## When to Use - Building complete applications from a one-line prompt - Frontend design tasks requiring high visual quality - Full-stack projects that need working features, not just code - Any task where "AI slop" aesthetics are unacceptable - Projects where you want to invest $50-200 for production-quality output ## When NOT to Use - Quick single-file fixes (use stan

Full three-agent harness
With custom config
Frontend design mode (generator + evaluator only, no planner)
Basic usage
With options
Step 1: Plan
Step 2: Generate (iteration 1)
codex -p --model deep "You are a Generator. Read spec.md. Implement Sprint 1. Start the dev server on port 3000."
Step 3: Evaluate (iteration 1)
Step 4: Generate (iteration 2 — reads feedback)