layers-surface

layers-surface is a skill for Claude Code, Codex from jamiemill/layers-skills. It costs 29 tokens per session (1,140 once invoked), scanned A, original, MIT.

A method for auditing the words, visuals, feedback, hierarchy, and accessibility people encounter in a product.

In plain words
What is it for?
Use it to check whether the interface reflects the underlying model and interaction flow, communicates state clearly, and remains accessible.
Why use it?
It reveals surface-level inconsistencies and shows when an apparent interface problem actually comes from a deeper design decision.

Skill for Claude CodeCodex

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

Good fit Use it to check whether the interface reflects the underlying model and interaction flow, communicates state clearly, and remains accessible.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jamiemill/layers-skills/layers-surface
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 jamiemill/layers-skills --skill layers-surface
Clone the repo
git clone --depth 1 https://github.com/jamiemill/layers-skills

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 layers-surface

README.md
[![agentmods](https://agentmods.dev/badge/skills/jamiemill/layers-skills/layers-surface/github.svg)](https://agentmods.dev/skills/jamiemill/layers-skills/layers-surface)
Your own site
<a href="https://agentmods.dev/skills/jamiemill/layers-skills/layers-surface"><img src="https://agentmods.dev/badge/skills/jamiemill/layers-skills/layers-surface/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 layers-surface

Your own site · 80×15
<a href="https://agentmods.dev/skills/jamiemill/layers-skills/layers-surface"><img src="https://agentmods.dev/badge/skills/jamiemill/layers-skills/layers-surface.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,140 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. Third-party audits
  • Socket pass 15 Sept 2026
  • Snyk pass 15 Sept 2026
How audits are shown
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 $0.00029 $0.01140
Opus 5.5 $0.00012 $0.00456
Sonnet 5.5 $0.00006 $0.00228
Haiku 4.5 $0.00003 $0.00114

Measured 2mo ago against content hash 2ffa29c0466b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

layers-surface 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 2mo 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.

skills/layers-surface/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/layers-surface

Assumes /layers-intro has been loaded. This skill is a library of techniques, not a script — see "How to use these skills" there.

The surface layer is where everything decided below becomes something a person actually encounters: words, sounds, visuals, physical affordances, motion, feedback. It's the most medium-specific layer, but the decisions that matter most first are universal — they hold whether the surface is a screen, voice interface, physical device, or service touchpoint.

Surface problems are often symptoms of deeper ones. The central discipline here is telling apart issues you can fix at the surface from issues that need a lower layer revisited.


The decisions this layer makes

  • Whether the surface honours the vocabulary and objects from the conceptual model
  • Whether every affordance from the breadboard is present — and whether any surface element has no model behind it
  • Whether the emotional register fits the jobs users are doing
  • How the user knows what happened, what's in progress, and what went wrong
  • What's most prominent, and whether it should be
  • Whether everything is accessible to the users who need it

Disciplines — what keeps the surface honest

  • Surface fix vs deeper-layer issue. The key judgement: is this something to fix in the copy/layout, or a symptom whose root is in the conceptual model or interaction flow? Wrong vocabulary may be a rewrite — or a model that never settled the term. Route deeper issues back to the relevant skill rather than patching the symptom.
  • Terms match the ubiquitous language. Flag direct violations (a model term used inconsistently), unlisted terms (surface words not in the model — add to model, or remove as noise), and tone misalignments.
  • Object consistency. No shapeshifters (same object in significantly different forms across contexts), no masked objects (a form where the user can't recognise the object type).
  • Completeness both ways. Every breadboard affordance is present; no surface element exists with no model or flow behind it (those are interaction decisions that slipped through — route to /layers-interaction-flow).
  • Errors diagnose, explain, recover. "Something went wrong" fails all three. Flag every error state that doesn't do all three.
  • Prominence reflects importance. What the flow needs the user to notice is what stands out; nothing prominent that shouldn't be.
  • Accessibility is decided, not defaulted.
  • Emotional register matches the emotional and social jobs from user needs — not the product's benefit framed as the user's.

Read the full file on GitHub · 67 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. 2mo ago First seen · 67 lines · 29 tokens per session scan A 2ffa29c0466b

Subscribe to this mod's changes

layers-surface is a skill published in the GitHub repository jamiemill/layers-skills (314 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 1,140 once invoked, about $0.0001 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 2026-08-30.

Related

layers-surface compared with skills from other repositories

layers-surface next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
layers-surfacejamiemill/layers-skillsSkill3145mo agoMITA29Claude Code, Codex
webgl-holographic-foilnexu-io/open-designSkill106kyesterdayApache-2.0A41Claude Code, Codex
html-ppt-hermes-cyber-terminalnexu-io/open-designSkill106kyesterdayApache-2.0A53Claude Code, Codex
html-ppt-taste-brutalistnexu-io/open-designSkill106kyesterdayApache-2.0A78Claude Code, Codex
visual-ralphYeachan-Heo/oh-my-codexSkill34k3d agoMITA52Codex
glance-canonical-layoutsandroid/skillsSkill10kyesterdayApache-2.0A56Claude Code
accessibilitymicrosoft/hve-coreSkill1.6kyesterdayMITA47Claude Code