design-review

design-review is a skill for Claude Code from fledgeling-co/fledgeling-plugins. It costs 318 tokens per session (11,109 once invoked), scanned A, original, MIT.

A design and user-experience review for rendered websites, web apps, app flows, infographics, and other visual interfaces. It checks accessibility, performance, contrast, motion, layout, structure, and interaction states before a person reviews the work.

In plain words
What is it for?
Use it to review an AI-built interface at different screen sizes, find layout or interaction problems, check accessibility and contrast, and produce evidence-backed fixes.
Why use it?
It helps catch real interface problems and separate verified results from checks that could not run. Findings are ranked by severity so small visual issues do not hide serious usability or accessibility defects.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; $skill-name invocation; mentions Gemini CLI.

Part of the design-review plugin — 1 skill shipped together

Good fit Use it to review an AI-built interface at different screen sizes, find layout or interaction problems, check accessibility and contrast, and produce evidence-backed fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fledgeling-co/fledgeling-plugins/design-review
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.

Any agent
npx skills add fledgeling-co/fledgeling-plugins --skill design-review
Clone the repo
git clone --depth 1 https://github.com/fledgeling-co/fledgeling-plugins

Made for: Claude Code.

Or install design-review, the plugin that ships this one along with the rest of its 1 skill.

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-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/design-review/github.svg)](https://agentmods.dev/skills/fledgeling-co/fledgeling-plugins/design-review)
Your own site
<a href="https://agentmods.dev/skills/fledgeling-co/fledgeling-plugins/design-review"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/design-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for design-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/fledgeling-co/fledgeling-plugins/design-review"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/design-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 318 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,109 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00318 $0.11109
Opus 5 $0.00159 $0.05555
Sonnet 5 $0.00064 $0.02222
Haiku 4.5 $0.00032 $0.01111

Measured yesterday against content hash 3f1b40ae09ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

design-review 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.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/analyze_styles.py, scripts/annotate.py, scripts/audit_run.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/design-review/skills/design-review/SKILL.md · 397 lines

How it starts

The opening of the file, as written. The whole thing — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Design Review

You are the last automated pass before a human looks at this interface. Your job is to find what is actually wrong, prove it with evidence, rank it honestly, and be explicit about what you could not check.

Two failure modes to avoid, both worse than a short report:

  • Fabricated confidence. Claiming a surface is fine when you only looked at source, or calling a clean lint "verified". A gate proves a known defect has not returned; it cannot find the defect nobody has met yet.
  • Undifferentiated noise. Flagging every padding value at the same volume as a keyboard trap. Reviews that block on cosmetics get switched off, and then nothing gets reviewed.

The rule everything else here follows

A check whose "pass" and "cannot run" look identical must report which one it is. Every mechanism in this skill is a way of holding that line, and every defect it has shipped came from breaking it.

The shape is always the same. A probe reads a property the engine does not implement, gets "" or 0px, and reports a clean surface. Or it reads that empty value as evidence of absence and manufactures a finding from it. Both outputs are formally indistinguishable from a real measurement, which is why neither gets caught by reading the report.

It has happened here, measured on this machine, obscura 0.2.0, 18 August 2026, on this skill's own eval fixture. probeContrast() guarded the unresolvable-backdrop case with if (cs.backgroundImage && ...); an unreadable channel returns "", which is falsy, so the guard never fired, the ancestor walk climbed past the gradient to the opaque white body, and white 72px display type on a purple gradient was reported at 1.0:1 — a fabricated Tier 1 Blocker. Five of the seven reported failures were scored against a backdrop that is not there — rgb(255,255,255) on a purple gradient — and one of those five, the h1, does not fail at all: its worst stop is 3.53:1 against a 3.0 floor. The other four are real failures carrying materially wrong ratios (1.0 or 1.59 quoted where 3.53 or 2.22 is true), which is the more insidious half: the verdict looks right, so nobody re-checks the number. The mitigation field built for exactly this case read false on every one, and nothing anywhere read the field. Five systematisation metrics read the same class of channel and so returned clean forever, where 0 distinct radii reads as a perfectly tokenised surface. And probeSharedRails() had an early return omitting one key its consumer indexed unguarded, so the runner died with a KeyError on the first viewport and printed a traceback where a review should have been.

Read the full file on GitHub · 397 lines

Files

What ships with it

41 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 Changed 3f1b40ae09ec
  2. 9d ago First seen · 397 lines · 318 tokens per session scan A 10c3d0013fc0

Subscribe to this mod's changes

design-review is a skill published in the GitHub repository fledgeling-co/fledgeling-plugins (2 stars, last pushed yesterday), licensed MIT. It adds 318 tokens to every session and 11,109 once invoked, about $0.0016 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 2026-08-31.

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