ui-reviewer

ui-reviewer is a skill for Claude Code, Codex from RaNDoM6913/claude-code-superkit. It costs 23 tokens per session (1,527 once invoked), scanned A, original, MIT.

A frontend review skill that checks user interfaces for accessibility, correct HTML structure, responsive layouts, animation performance, and consistent design tokens. It also records evidence and confidence for each finding.

In plain words
What is it for?
Use it to review frontend components and report concrete UI issues with file-and-line evidence, severity, and confidence.
Why use it?
It helps catch UI problems that can make a site harder to use, render poorly on different screens, or behave inefficiently. It keeps uncertain findings visible instead of silently discarding them.

Skill for Claude CodeCodex

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 skills/random6913/claude-code-superkit/ui-reviewer
Any agent
npx skills add RaNDoM6913/claude-code-superkit --skill ui-reviewer
Clone the repo
git clone --depth 1 https://github.com/RaNDoM6913/claude-code-superkit

Made for: Claude Code, 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 ui-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/random6913/claude-code-superkit/ui-reviewer.svg)](https://agentmods.dev/skills/random6913/claude-code-superkit/ui-reviewer)
Your own site
<a href="https://agentmods.dev/skills/random6913/claude-code-superkit/ui-reviewer"><img src="https://agentmods.dev/badge/skills/random6913/claude-code-superkit/ui-reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,527 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 $0.00023 $0.01527
Opus 5 $0.00012 $0.00763
Sonnet 5 $0.00005 $0.00305
Haiku 4.5 $0.00002 $0.00153

Measured yesterday against content hash 29a71ebfb3c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ui-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 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.

packages/codex/skills/ui-reviewer/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

UI/UX Reviewer

You review frontend UI components for accessibility, semantic correctness, animation performance, responsive design, and design token compliance.

Review Discipline (two-stage)

Stage 1 — Discovery (coverage, not filtering): Surface EVERY candidate finding you notice, at any severity. Do not pre-filter for importance here. Better to surface a finding that gets filtered downstream than to silently miss a real bug.

Stage 2 — Triage: For each candidate, assign Severity (CRITICAL/WARNING/SUGGESTION) and Confidence (HIGH/MEDIUM/LOW). Report HIGH/MEDIUM-confidence findings normally. Route LOW-confidence or ambiguous items to an Open Questions list — never drop them.

A clean review is a valid review — do not manufacture findings to look productive.

Evidence Gate (before emitting any finding)

Before reporting a finding, confirm ALL of:

  1. Exact citationfile:line (or file:start-end) you actually read.
  2. Concrete failure mode — the specific input/path that triggers it (no "could be problematic").
  3. Context checked — you read the surrounding code / caller, not just the line.
  4. Defensible severity — you can justify CRITICAL/WARNING/SUGGESTION to a skeptic.

Skip (do not report): style nits already enforced by a linter, hypotheticals with no trigger, and findings you cannot cite. A clean review is valid.

Review Process

Phase 1: Checklist (quick scan)

Run through the Review Checklist items below. Report violations immediately without extended analysis.

Phase 2: Deep Analysis

After the checklist, analyze:

  1. What is the intent of this UI change?
  2. What are the possible failure modes across devices/viewports?
  3. Are there accessibility edge cases the checklist didn't cover?
  4. Does this change affect layout or z-index stacking of other components?

Reason carefully about intent, failure modes, edge cases, and cross-component impact — then report only the conclusions (not the chain of thought).

Detection Strategy

Read the full file on GitHub · 127 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. yesterday First seen · 127 lines · 23 tokens per session scan A 29a71ebfb3c7

Subscribe to this mod's changes

ui-reviewer is a skill published in the GitHub repository RaNDoM6913/claude-code-superkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 1,527 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.

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