lumo

A mobile interface design and review guide for Android and iOS apps, including Jetpack Compose, Android XML, SwiftUI, and UIKit. It applies accessibility standards, platform guidelines, and established principles of human-computer interaction.

In plain words
What is it for?
Use it to review mobile UI code, compare iOS and Android screens, validate color choices, assess layouts, or find platform-specific design mistakes.
Why use it?
It helps find problems such as poor color contrast, hard-to-tap controls, inconsistent platform behavior, and mobile accessibility violations using checks and design rules.

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/onexeor-dev/lumo/skill
Any agent
npx skills add OneXeor-Dev/lumo --skill skill
Clone the repo
git clone --depth 1 https://github.com/OneXeor-Dev/lumo

Made for: Claude Code, Codex.

Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 11,976 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 $0.00104 $0.11976
Opus 5 $0.00052 $0.05988
Sonnet 5 $0.00021 $0.02395
Haiku 4.5 $0.00010 $0.01198

Measured yesterday against content hash 604b0a705c33, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lumo 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.

skill/SKILL.md · 1,017 lines

How it starts

The opening of the file, as written. The whole thing — 1,017 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lumo

Mobile design intelligence for Claude Code. Lumo combines a curated rule set with a small toolkit of deterministic Python tools — so checks that need real math (WCAG luminance, OKLCH correction, AST diff, cross-platform parity) return facts, not LLM guesses.

When to Use

Use Lumo when the user request touches any of:

  • Accessibility / WCAG contrast questions on a colour pair or palette
  • Reviewing or auditing mobile UI code (Jetpack Compose, Android XML, SwiftUI, UIKit)
  • Comparing the same screen across iOS and Android for visual / behavioural parity (padding, animation timing, touch target, typography scale)
  • Applying cognitive-science rules to a layout: Fitts (target size × distance), Hick (choice count → decision time), Gestalt grouping, Nielsen heuristics
  • Choosing or validating colour tokens for a mobile design system
  • Detecting platform-specific anti-patterns (e.g. emoji as system icons, hardcoded hex in components, missing safe-area handling)

When NOT to Use

Skip Lumo entirely for:

  • Pure backend / API / database tasks
  • Non-mobile web design (use a web-focused skill instead)
  • Build / CI / dependency / version-bump tasks
  • Performance work that doesn't touch UI rendering
  • Tasks where the user has explicitly opted out of design feedback

Do not invoke Lumo "just in case" the request might be design-adjacent. If the request doesn't match a trigger above and the user hasn't named a mobile UI concern, stay out.

Tools

Lumo ships with Python tools. Each tool has a single CLI entry-point with deterministic output. Invoke via Bash. Tools live in tools/lumo/<area>/cli.py and are exposed as console scripts after pip install -e tools/ or pipx install lumo-mobile.

When running inside an MCP-aware client (Cursor, Continue, Aider, Goose, Zed, Codex, or Claude Code with MCP enabled), the same tools are also exposed as MCP functions: lumo_wcag_check, lumo_wcag_fix, lumo_theory_check, lumo_parity_diff, lumo_source_check_compose, lumo_source_check_swiftui, lumo_audit_scan, lumo_figma_diff, lumo_figma_render, lumo_render_compose, lumo_render_swiftui. Prefer the MCP function over spawning a Bash subprocess when available — the structured response is already JSON and the user does not see noisy command output.

Read the full file on GitHub · 1,017 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 · 1,017 lines · 104 tokens per session scan A 604b0a705c33

Subscribe to this mod's changes

lumo is a skill published in the GitHub repository OneXeor-Dev/lumo (2 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 11,976 once invoked, about $0.0005 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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