better-interface

A review guide for checking an interface as a complete user experience across accessibility, layout, writing, typography, color, and visual design.

In plain words
What is it for?
Use it for quick or full reviews of screens, user flows, and features, including empty, loading, error, and narrow-screen states.
Why use it?
It brings related design checks together so problems are prioritized across the whole screen, flow, or product feature.

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/fradser/dotclaude/better-interface
Any agent
npx skills add FradSer/dotclaude --skill better-interface
Clone the repo
git clone --depth 1 https://github.com/FradSer/dotclaude

Made for: Claude Code, Codex.

Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,706 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 $0.00084 $0.01706
Opus 5 $0.00042 $0.00853
Sonnet 5 $0.00017 $0.00341
Haiku 4.5 $0.00008 $0.00171

Measured 2d ago against content hash ac8a032c191c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

better-interface 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 2d 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.

interfaces/skills/better-interface/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review the interface as one system

A strong interface is not six independent audits stapled together. Review the whole experience, let each domain reference own its rules, then consolidate the evidence into one prioritized verdict.

This skill owns orchestration only. Accessibility rules belong to references/accessibility/overview.md; structure to references/layout/overview.md; copy to references/writing/overview.md; type to references/typography/overview.md; color to references/colors/overview.md; visual polish and motion to references/ui/overview.md. Never duplicate or override their rules here.

Core Principles

1. Resolve Scope and Mode First

Infer the screen, flow, feature, or repository scope from the request and current workspace. State the resolved scope in the output. Use full when no mode is supplied.

Mode Coverage Finding cap
quick Primary user path and highest-traffic states; report only HIGH and MEDIUM issues 5
full Entire requested scope across all six domain references, including empty, loading, error, and narrow-width states when present 15

If the requested scope is too large to inspect credibly, narrow it to the highest-traffic complete flow and state the boundary. Never imply uninspected surfaces were reviewed.

2. Recon Before Judgment

Identify the framework, styling system, component library, design tokens, supported viewports, and available preview or test commands. Follow the project's established Tailwind, plain CSS, CSS-in-JS, token, and component conventions.

3. Use Domain References as the Sources of Truth

Before reviewing, read all six domain references below. Load and apply every available reference. In quick mode, inspect all six domains but spend depth only where the primary flow has evidence. In full mode, complete each available domain review before consolidation.

Review in this order so foundational failures are not hidden by polish:

  1. references/accessibility/overview.md
  2. references/layout/overview.md
  3. references/writing/overview.md
  4. references/typography/overview.md
  5. references/colors/overview.md
  6. references/ui/overview.md

Read the full file on GitHub · 138 lines

Files

What ships with it

29 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. 2d ago First seen · 138 lines · 84 tokens per session scan A ac8a032c191c

Subscribe to this mod's changes

better-interface is a skill published in the GitHub repository FradSer/dotclaude (588 stars, last pushed 21d ago), licensed MIT. It adds 84 tokens to every session and 1,706 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

agent-host-chat-contributions

Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.

microsoft/vscode · 56 tokens