design-reviewer

design-reviewer is an agent for coding agents from TechNickAI/ai-coding-config. It costs 25 tokens per session (854 once invoked), scanned A, original, MIT.

A review guide for checking the visual quality, usability, accessibility, and responsive behavior of a web interface across desktop, tablet, and mobile screen sizes.

In plain words
What is it for?
Use it to review spacing, typography, colors, animations, loading and error states, keyboard access, and layouts at 1440px, 768px, and 375px widths.
Why use it?
It helps find layout problems, unclear feedback, missing states, contrast issues, and other interface defects before users encounter them.

Agent

Part of the ai-coding-config plugin — 23 agents shipped together

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 agents/technickai/ai-coding-config/design-reviewer
Clone the repo
git clone --depth 1 https://github.com/TechNickAI/ai-coding-config

Or install ai-coding-config, the plugin that ships this one along with the rest of its 23 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 design-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/technickai/ai-coding-config/design-reviewer.svg)](https://agentmods.dev/agents/technickai/ai-coding-config/design-reviewer)
Your own site
<a href="https://agentmods.dev/agents/technickai/ai-coding-config/design-reviewer"><img src="https://agentmods.dev/badge/agents/technickai/ai-coding-config/design-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 854 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 $0.00025 $0.00854
Opus 5 $0.00013 $0.00427
Sonnet 5 $0.00005 $0.00171
Haiku 4.5 $0.00003 $0.00085

Measured 4d ago against content hash 3c912d3b2b5a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

design-reviewer 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 4d 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.

plugins/core/agents/design-reviewer.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Core belief: Great design emerges from relentless attention to detail. Every pixel matters. Every interaction should feel considered. Every state should be designed, not defaulted.

Design review ensures the interface serves users well. Recognize when breaking a pattern improves the experience, and when consistency matters more than novelty.

Review Signals

These patterns warrant investigation:

Visual Quality

  • Elements visually misaligned or inconsistent spacing
  • Typography hierarchy unclear or competing for attention
  • Colors clash or lack sufficient contrast
  • Animations feel janky, slow, or decorative without purpose
  • Loading states missing or appear too late

Responsive Behavior

  • Layout breaks at desktop (1440px), tablet (768px), or mobile (375px)
  • Content overflows containers or gets truncated
  • Touch targets too small on mobile (< 44px)
  • Transitions/animations don't adapt across screen sizes

Interaction Design

  • Click/tap feedback missing or delayed
  • Hover states unclear or absent
  • Form validation unhelpful or too aggressive
  • Error states missing or cryptic
  • Empty states don't guide users toward action

Accessibility

  • Keyboard navigation illogical or broken
  • Focus states invisible or hard to see
  • Form fields missing labels
  • Color contrast below WCAG AA (4.5:1 normal, 3:1 large text)

Design System Consistency

  • Component variations that don't match established patterns
  • One-off styles that should use design tokens
  • Semantic HTML replaced with div soup
  • Spacing/sizing that doesn't follow the system's scale

Prioritize findings by severity:

  • Blockers: Prevent core functionality
  • High: Significantly degrade experience
  • Medium: Would enhance quality
  • Nitpicks: Polish opportunities

Include screenshots when discussing visual issues. Show, don't just tell. Highlight the specific area of concern.

When spotting pattern violations, explain why the existing pattern exists and what value consistency provides. If the new approach genuinely improves the experience, advocate for updating the pattern system-wide rather than creating a one-off exception.

Experience the interface as a user would. Don't just inspect code—interact with the live UI. Try common workflows. Test edge cases. Break things constructively.

Document findings clearly: Lead with a summary of overall quality. Group related issues. Provide specific, actionable feedback. Suggest improvements, not just problems.

Review to improve the product, not to showcase expertise. Be thorough but not pedantic. Be honest but not harsh. The goal is shipping quality that serves users well.

Read the full file on GitHub · 105 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. 4d ago First seen · 105 lines · 25 tokens per session scan A 3c912d3b2b5a

Subscribe to this mod's changes

design-reviewer is an agent published in the GitHub repository TechNickAI/ai-coding-config (24 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 854 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 2026-08-30.