design-qa

design-qa is a skill for Claude Code, Codex from damianvtran/local-operator. It costs 50 tokens per session (663 once invoked), scanned A, original, MIT.

A structured review process for checking the visual quality of web pages and terminal interfaces. It measures things such as contrast, spacing, overlap, clipped content, and wording before judging the overall design.

In plain words
What is it for?
Use it to review screens, dashboards, and interfaces across different sizes, states, and themes.
Why use it?
It finds visible interface defects and supports design decisions with measurements instead of guesses.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review screens, dashboards, and interfaces across different sizes, states, and themes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/damianvtran/local-operator/design-qa
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 damianvtran/local-operator --skill design-qa
Clone the repo
git clone --depth 1 https://github.com/damianvtran/local-operator

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 design-qa

README.md
[![agentmods](https://agentmods.dev/badge/skills/damianvtran/local-operator/design-qa/github.svg)](https://agentmods.dev/skills/damianvtran/local-operator/design-qa)
Your own site
<a href="https://agentmods.dev/skills/damianvtran/local-operator/design-qa"><img src="https://agentmods.dev/badge/skills/damianvtran/local-operator/design-qa/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-qa

Your own site · 80×15
<a href="https://agentmods.dev/skills/damianvtran/local-operator/design-qa"><img src="https://agentmods.dev/badge/skills/damianvtran/local-operator/design-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 663 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 $0.00050 $0.00663
Opus 5.5 $0.00020 $0.00265
Sonnet 5.5 $0.00010 $0.00133
Haiku 4.5 $0.00005 $0.00066

Measured 5d ago against content hash ee2cd3df797f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

design-qa 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 5d 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.

local_operator/skills/builtin/design-qa/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Design QA

A quality gate for user-visible interfaces, web or terminal. Two lanes, in order: measure, then judge. Every claim carries evidence.

Lane 1: measure

Run the deterministic checks for the surface before forming any opinion, and cite each number's actual source (computed style, bounding box, log line). Never report an unmeasured number; if you cannot measure it, say so.

  • Web: references/checks-web.md
  • Terminal: references/checks-tui.md
  • Copy: references/checks-copy.md

Lane 2: judge

Judge only what measurement cannot decide: hierarchy (does the eye land in the right place), flow (is the next step obvious), does the screen answer its own question, do the states tell the truth. Judgement stands on the lane 1 numbers. Where you must eyeball, say that you did.

Matrix: states x viewports

Cover every state the surface has, at narrow, standard, and wide. Themes and personalization axes the product supports (dark mode, display sizes) are extra columns.

narrow standard wide
loading
empty
error
populated

For terminal UIs, "viewports" are terminal sizes; include the smallest width the product promises. A single happy-path screenshot is not coverage.

Procedure

  1. Get rendered frames, never source alone. Web: drive the harness browser tool (background tab, logins intact; never install or script a browser engine). Terminal: drive the real app that loads the shipped styles, not a bare test host, and export with the app's own capture facility.
  2. Run the deterministic checks for the surface; keep each check's real output.
  3. Capture a frame per matrix cell. Where anything animates, compare consecutive frames: a first frame that differs from the settled frame is motion the user sees.
  4. Form judgements against the brief and the states, not against taste.
  5. Report findings with severity and evidence. Where the round format uses D-prefixed ids (D1, D2, ...), keep them stable across rounds and verify fixes only on changed surfaces.

Read the full file on GitHub · 54 lines

Files

What ships with it

3 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. 5d ago First seen · 54 lines · 50 tokens per session scan A ee2cd3df797f

Subscribe to this mod's changes

design-qa is a skill published in the GitHub repository damianvtran/local-operator (218 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 663 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-11.

Related

Other skills, from other repositories

building-agents

Use when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server — model-agnostic across OpenAI/Anthropic/Gemini/OSS so a model swap is a config change. NOT vector-store SQL alone (that is postgresdb) or service…

ericrisco/rsc-harness · 85 tokens

agent-eval

Use when measuring whether an LLM or agent system actually got better and gating merges on it: golden sets, fixing an inflated LLM-as-judge, scoring RAG (faithfulness, contextual recall) or agent trajectories (tool correctness, completion), or picking an eval framework. NOT building the agent loop, tools or RAG…

ericrisco/rsc-harness · 79 tokens

excalidraw

Create hand-drawn style diagrams using Excalidraw JSON format. Generate .excalidraw files for architecture diagrams, flowcharts, sequence diagrams, concept maps, and more. Files can be opened at excalidraw.com or uploaded for shareable links.

raphaelmansuy/edgecrab · 58 tokens

better-ui

Design engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, micro-interactions, enter/exit animations, choosing or reviewing icons, or any visual detail work. Triggers on UI polish, design details…

iurysza/android-use · 103 tokens

theme-pack-authoring

Build, validate, and install Kiro Crew theme packs -- pack anatomy, the 56-variable palette, role-tagged fonts, the overrides.css allowlist (what installs vs what actually renders), and the install-verify cycle. Use when the user wants to create or edit a theme pack.

kirodotdev/KiroCrew · 64 tokens

a2ui

Make a reply easier to read and act on with rich blocks inside ordinary Markdown — a choice the user picks from, a form that collects several answers, a procedure as steps with warnings in place, a callout, a Mermaid diagram, a weather card, a live clock or countdown, and a dashboard of gauges for a system snapshot, a…

Prism-Shadow/penguin-harness · 173 tokens