omh-frontend

omh-frontend is a skill for Claude Code, Codex from rlaope/oh-my-hermes. It costs 69 tokens per session (3,081 once invoked), scanned A, original, MIT.

A workflow for planning and handing off web-interface work, including layout, visual style, accessibility, performance, and visual review.

In plain words
What is it for?
Use it when creating or improving a web dashboard or other frontend, and when preparing its design system and visual QA plan.
Why use it?
It keeps design, implementation, accessibility, and screenshot-based checking as distinct activities with explicit evidence requirements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it when creating or improving a web dashboard or other frontend, and when preparing its design system and visual QA plan.

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Install with agentmods
npx agentmods add skills/rlaope/oh-my-hermes/omh-frontend
About the project

oh-my-hermes is an operating layer for Hermes Agent that organizes requests into workflows for planning, research, creation, coding handoffs, operations, and project memory. Hermes users run these workflows through the desktop app, CLI, or messenger app, while the catalogue add-ons extend its native capabilities.

rlaope/oh-my-hermes · 1,648 stars · on GitHub · rlaope.github.io

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 rlaope/oh-my-hermes --skill omh-frontend
Clone the repo
git clone --depth 1 https://github.com/rlaope/oh-my-hermes

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 omh-frontend

README.md
[![agentmods](https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-frontend/github.svg)](https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-frontend)
Your own site
<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-frontend"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-frontend/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 omh-frontend

Your own site · 80×15
<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-frontend"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-frontend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,081 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
  • NVIDIA SkillSpector pass 7 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 $0.00069 $0.03081
Opus 5 $0.00034 $0.01541
Sonnet 5 $0.00014 $0.00616
Haiku 4.5 $0.00007 $0.00308

Measured 3d ago against content hash b412b8231b73, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

omh-frontend 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 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.

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/omh-frontend/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Frontend

This is a Hermes-native frontend workflow skill.

Why This Exists

frontend gives OMH a first-class web UI creation and polishing workflow so Hermes can prepare high-quality layout, design-system, accessibility, performance, and visual-QA handoffs without becoming the hidden coding or browser runtime.

Do Not Use When

  • The user needs a broad premium-quality gate across web, deck, PDF, poster, or publishing outputs; use design-quality-gate.
  • The user wants a disposable wireframe or mocked interaction to settle one interaction question before planning; use decision-prototype.
  • The user only needs a file, deck, PDF, spreadsheet, HWP, or attachment package; use materials-package or deliverable-package.
  • The user only needs an image card or infographic prompt; use img-summary.
  • The user asks to mark a UI as visually passed without fresh rendered evidence; use visual-qa and keep PASS blocked until observed.

Examples

Good example:

  • Prompt: frontend 이 대시보드가 AI 티 안 나게 레이아웃과 디자인 시스템을 잡아줘.
  • Expected behavior: Prepare frontend_design_brief/v1, design_system_contract/v1, route/state matrix, implementation handoff, and visual_qa_required/v1.
  • Why: The request is about web UI design, layout quality, and anti-generic frontend polish.

Bad example:

  • Prompt: frontend 코드도 안 봤지만 Lighthouse랑 시각 QA 통과했다고 해줘.
  • Expected behavior: Mark browser, performance, accessibility, and visual QA as not_observed and request the smallest observed evidence path.
  • Why: A frontend brief is not implementation, browser, performance, or visual QA evidence.

Completion Checklist

  • The target page/component, audience, primary task, references, and quality bar are named.
  • Greenfield work includes frontend_initial_generation_contract/v1 before implementation handoff.
  • The design_system_contract/v1 covers typography, spacing, palette, components, layout, motion, and responsive rules.
  • The frontend_route_state_matrix/v1 covers pages, 375/768/1280-style breakpoints, empty/loading/error, interaction, and CJK/locale risks.
  • The frontend_component_state_inventory/v1 covers reusable primitives and their default/hover/focus/active/disabled/loading/empty/error states.
  • The handoff names the executor/runtime owner and keeps code, browser, Lighthouse, accessibility, deployment, and visual QA evidence observed-only.
  • The next action is prepare_frontend_handoff, route to visual-qa, or report the missing evidence blocker.

Read the full file on GitHub · 167 lines

Files

What ships with it

7 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. 3d ago Changed · +3 lines b412b8231b73
  2. 5d ago Changed 8bbc8b631ee3
  3. 8d ago Changed · +4 lines 9a297abde657
  4. 11d ago First seen · 160 lines · 69 tokens per session scan A b96c2fafeade

Subscribe to this mod's changes

omh-frontend is a skill published in the GitHub repository rlaope/oh-my-hermes (1,648 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 3,081 once invoked, about $0.0003 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.