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subagent CX Codex GP ChatGPT official · OpenAI

design-parity-review-agent — Codex subagent: setup and usage

Checks coded user interfaces against Figma designs and reference screenshots. Catches typography drift, missing tokens, and spacing errors early.

Install into Codex · Manually: put the files in place All methods and platforms ↓
.codex/agents/design-parity-review-agent.toml
Open on GitHub

What design-parity-review-agent does

This subagent compares implemented frontend interfaces directly with Figma specifications. Visual defects and broken component interactions take precedence over general code formatting rules. The agent identifies wrong design tokens, shifted margins, substituted graphic assets, and typography drift.

Review output follows a fixed three-part structure: issues ordered by severity, missing context or blockers, and an overall parity summary. Without visual references or screenshots, the agent will not guess and requests the necessary context before continuing.

What it helps with

  • spot typography and spacing drift between code and mockups
  • detect misused design tokens in interface styles
  • catch substituted visual assets or missing icons
  • generate parity findings sorted by severity

Example prompts for the agent

  • Compare this modal dialog against the Figma screenshot and check margins
  • Review the implemented profile card against the design file for token mismatches

How to install design-parity-review-agent

Manually: put the files in place

.codex/agents/design-parity-review-agent.toml

Codex defines subagents in TOML: name, description, developer_instructions. Move the Markdown text into developer_instructions by hand. For all projects use ~/.codex/agents/

Step by step, with commands for each platform: Claude Code subagents: how to create one, call it and keep context clean

Questions about design-parity-review-agent

How to install design-parity-review-agent in Codex?

Place the agent configuration file into .codex/agents/design-parity-review-agent.toml.

What does design-parity-review-agent do?

It reviews frontend implementations against Figma intent and visual screenshots. The focus is strictly on visible regressions and interaction mismatches.

What happens when reference screenshots are missing?

The agent avoids guessing layout details. It marks missing evidence as a blocker and explicitly asks for reference images.

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