oh-my-design: Skill for Claude Code

.claude/skills/omd-codex-image/SKILL.md

omd:codex-image is a skill for Claude Code from kwakseongjae/oh-my-design. It costs 104 tokens per session (2,096 once invoked), scanned A, original, MIT.

A channel-aware process for filling image placeholders in HTML, Markdown, JSX, or MDX files. It reads one image specification and routes the work according to which coding-agent channel is being used.

In plain words
What is it for?
Use it when asking to create images or fill placeholders. It supports image generation in Codex, a fallback curator in Claude Code, and a specification for the user in OpenCode.
Why use it?
It avoids handling image creation differently for every coding-agent tool and keeps the requested filename, visual brief, and related notes in one place.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions Claude Code; mentions Codex; mentions OpenCode.

This is kwakseongjae/oh-my-design's own configuration. It tells Claude Code how to work on oh-my-design itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything oh-my-design configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kwakseongjae/oh-my-design. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/kwakseongjae/oh-my-design/main/.claude/skills/omd-codex-image/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/kwakseongjae/oh-my-design

Made for: Claude Code.

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 omd:codex-image

README.md
[![agentmods](https://agentmods.dev/badge/skills/kwakseongjae/oh-my-design/omd-codex-image/github.svg)](https://agentmods.dev/skills/kwakseongjae/oh-my-design/omd-codex-image)
Your own site
<a href="https://agentmods.dev/skills/kwakseongjae/oh-my-design/omd-codex-image"><img src="https://agentmods.dev/badge/skills/kwakseongjae/oh-my-design/omd-codex-image/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 omd:codex-image

Your own site · 80×15
<a href="https://agentmods.dev/skills/kwakseongjae/oh-my-design/omd-codex-image"><img src="https://agentmods.dev/badge/skills/kwakseongjae/oh-my-design/omd-codex-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,096 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 $0.00104 $0.02096
Opus 5 $0.00052 $0.01048
Sonnet 5 $0.00021 $0.00419
Haiku 4.5 $0.00010 $0.00210

Measured 11d ago against content hash 52dd7fdf7341, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

omd:codex-image 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 11d 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.

.claude/skills/omd-codex-image/SKILL.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

omd:codex-image

채널-aware 이미지 materialization 스킬. 하나의 spec format + 세 가지 downstream 처리.

문제: oh-my-design이 emit하는 HTML/MD에는 늘 illustration 자리가 비어있다. 채널별 capability가 다르다 — Codex CLI는 내장 image generation을 갖고, Claude Code는 안 가졌고, OpenCode는 user에게 위임한다. 이 차이를 skill 1개로 통합한다.

0. 단일 spec format

artifact (HTML, Markdown, JSX, MDX) 안에 다음 주석 블록을 둔다.

<!-- omd:gen-image
  filename: assets/karrot-hero.png
  prompt: "Karrot mobile home feed screenshot — white canvas, warm near-black headings, single Karrot Orange #FF6600 floating CTA. Mobile portrait, no chrome."
  aspect: "16:9"
  style: "product screenshot, minimal, mobile"
  references:
    - https://www.daangn.com/
    - https://seed-design.io/
  notes: "Single saturated element per viewport. Use brand orange only on the CTA."
-->
<img src="assets/karrot-hero.png" alt="당근 홈 피드의 단일 오렌지 CTA" />

규칙:

  • filename — 결과물 저장 경로. 같은 디렉토리 기준 상대경로 권장.
  • prompt — 한 문단, 구체적, 시각 디테일 + 톤 + 컬러 hex 포함.
  • aspect16:9 4:3 1:1 9:16 중 하나.
  • style — 1~3 단어 (product screenshot / inline svg / editorial photo / dieline diagram).
  • references — 실제 브랜드 URL (선택, IP-safe 컨텍스트용).
  • notes — generator나 검수자가 알아야 할 제약.

이 spec은 channel과 무관하다. 채널별 처리는 §1.

1. 채널 분기

호출 envelope의 channel (또는 환경 detect — process.env.OMD_CHANNEL이나 host agent 식별)에 따라:

1.1 channel = codex

Codex CLI는 native image generation을 갖고 있다. 다음 순서:

  1. artifact를 Read로 전체 로드
  2. <!-- omd:gen-image ... --> 블록을 정규식으로 추출 (multiline)
  3. 각 블록마다 Codex의 image generation primitive 호출 — 도구명은 host에 따라 다르다 (generate_image, image.create, dall_e_image_generation, gpt_image_1 등). Codex agent가 자기 환경에서 사용 가능한 것을 선택한다.
  4. 출력 파일을 filename 경로에 저장 (mkdir -p)
  5. 주석 블록은 그대로 두고 <img src>![]() 경로가 매칭되는지 확인. 안 맞으면 alt 텍스트 보존하면서 src만 교체.
  6. 각 처리 항목에 <!-- omd:gen-image:done at=<ISO timestamp> by=codex --> 주석을 spec 블록 아래에 1줄 추가.

Read the full file on GitHub · 165 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. 11d ago First seen · 165 lines · 104 tokens per session scan A 52dd7fdf7341

Subscribe to this mod's changes

omd:codex-image is a skill published in the GitHub repository kwakseongjae/oh-my-design (498 stars, last pushed 4d ago), licensed MIT. It adds 104 tokens to every session and 2,096 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 2026-08-30.

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