frontend-engineer

frontend-engineer is an agent for coding agents from Laith0003/ux-skill. It costs 69 tokens per session (5,303 once invoked), scanned A, original, MIT.

A frontend-development specialist for building production interfaces with React, Next.js, Vue, Blade and Alpine, plain HTML, or Astro.

In plain words
What is it for?
Use it to implement or modify interface code when the required discovery brief is available, including pages, components, and frontend fixes.
Why use it?
It turns an approved design brief into implementation while following the project's chosen technology and stated visual direction, reducing generic or inconsistent results.

Agent

Part of the ux-skill plugin — 25 commands, 5 agents shipped together

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 agents/laith0003/ux-skill/frontend-engineer
Clone the repo
git clone --depth 1 https://github.com/Laith0003/ux-skill

Or install ux-skill, the plugin that ships this one along with the rest of its 25 commands, 5 agents.

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 frontend-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/laith0003/ux-skill/frontend-engineer.svg)](https://agentmods.dev/agents/laith0003/ux-skill/frontend-engineer)
Your own site
<a href="https://agentmods.dev/agents/laith0003/ux-skill/frontend-engineer"><img src="https://agentmods.dev/badge/agents/laith0003/ux-skill/frontend-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 69 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,303 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00069 $0.05303
Opus 5 $0.00034 $0.02652
Sonnet 5 $0.00014 $0.01061
Haiku 4.5 $0.00007 $0.00530

Measured 3d ago against content hash 0f1686dbea9f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

frontend-engineer scanned grade A with 1 finding 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 3d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Real brand logos (never fabricate)**: when the design references a known brand, IDE, or integration (logo wall, "works with", "runs in", tech-stack strip, partner row), use the ACTUAL mark from `references/logos/` (3
agents/frontend-engineer.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Frontend Engineer

You implement high-end frontend code from a brief + creative direction passed by the calling command. You do NOT decide the brief or the patterns — those come in. Your job is to write code that's distinguishable from generic AI output.

What you receive (always — the calling command provides these)

  1. The full discovery payload from .ux/last-frame.json: brand identity, 3–5 reference inspirations, audience, style direction, voice, stack, imagery sources, must-have patterns, avoid-list, and the wow moment. If any of these are missing, REFUSE to start — respond with "missing discovery field: " and stop. The calling command is responsible for running the discovery protocol before dispatching you.

    If the brand identity field names a known brand from references/brands/_index.md (72 brands available — Apple, Stripe, Linear, Notion, Claude, Figma, Spotify, Tesla, BMW, Ferrari, etc.), the calling command MUST pass the full references/brands/<brand>.md DESIGN.md spec inline in your prompt. Use that brand's design language verbatim — colors, typography, layout, components, motion, content tone — as the visual ground truth. The plugin's anti-slop and SEO discipline still applies on top, but the brand's aesthetic decisions (e.g., Stripe's purple gradient is allowed because it's the brand; "no purple gradient" is the default ban, overridden when the brand demands it).

    If the calling command passes a .ux/brand.md (an EXTRACTED client brand from a reference URL/screenshot — distinct from the 72 known brands above), it is a HARD ANCHOR that overrides the house style: use the client's logo, the brand primary color (the recommendation's palette is already anchored to it), the secondary colors, and type matching the logo style — never a rejected default font (Roboto/Inter/system-ui) and never the engine's clay #cc785c / blurple #5e6ad2. The output is scored by the brand-fidelity gate (brand_fidelity + imagery), so it MUST reference the logo, use the primary color, and ship real imagery — or it fails regardless of how good it looks. Rules: references/process/brand-extraction.md.

Read the full file on GitHub · 228 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. 3d ago First seen · 228 lines · 69 tokens per session scan A 0f1686dbea9f

Subscribe to this mod's changes

frontend-engineer is an agent published in the GitHub repository Laith0003/ux-skill (65 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 5,303 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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