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image-prompt

image-prompt is a skill for Claude Code, Codex from gongnyang/gongnyang-prompt-kit. It costs 231 tokens per session (3,541 once invoked), scanned A, original, MIT.

A Korean-language prompt-writing toolkit for turning vague image requests into detailed prompts for GPT Image. It covers posters, covers, illustrations, promotional materials, typography, presentations, and related formats.

In plain words
What is it for?
Use it to create one or more structured image prompts, choose a format for posters or covers, preserve exact Korean wording, and validate higher-value prompts before generation.
Why use it?
It fills in missing visual decisions such as layout, subject, style, and aspect ratio so an image request is ready to generate and can be checked for required details.

Skill for Claude CodeCodex

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

not rated 324repo +4 1mo ago A scan SkillSpector: pass 231 tokens original MIT

Good fit Use it to create one or more structured image prompts, choose a format for posters or covers, preserve exact Korean wording, and validate higher-value prompts before generation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gongnyang/gongnyang-prompt-kit/image-prompt
View source ↗ gongnyang/gongnyang-prompt-kit kimsh-1.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 gongnyang/gongnyang-prompt-kit --skill image-prompt
Clone the repo
git clone --depth 1 https://github.com/gongnyang/gongnyang-prompt-kit

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 image-prompt

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/gongnyang/gongnyang-prompt-kit/image-prompt"><img src="https://agentmods.dev/badge/skills/gongnyang/gongnyang-prompt-kit/image-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 231 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,541 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 $0.00231 $0.03541
Opus 5 $0.00115 $0.01770
Sonnet 5 $0.00046 $0.00708
Haiku 4.5 $0.00023 $0.00354

Measured 12d ago against content hash 5e1695c2d7a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

image-prompt 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_prompt.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/image-prompt/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🐾 공냥 프롬프트 킷 VOL.2 — gpt-image-2 프롬프트 컴파일러

모호한 요청을 $imagegen용 완성 한국어 프로덕션 프롬프트로 컴파일한다. 생성·양산은 [codex-imagegen](1장은 codex 직접).

워크플로우

  1. 빠진 결정(카테고리·컷타입·피사체·스타일·구도·텍스트·AR)은 추론해 채운다. 묻는 건 한글 문구 원문·브랜드명·민감 소재뿐.
  2. 라우팅 표에서 읽을 파일 결정, 포맷은 §포맷 A/B.
  3. 철칙 9개를 지켜 작성, 끝에 AR 토큰.
  4. 고가치 산출물은 응답 전 node scripts/check_prompt.mjs 검증(ok:true).
  5. 생성 연계 시 컴파일된 프롬프트만 넘긴다(거친 원문 금지).

확장 예: 포스터→C3·화보→C1 B·키아트→C11·아이콘→C9("텍스트 없음")·제품→C4·만화→C10·피피티→C12(16:9).

출력 계약: 단일=본문+끝 AR x:y만(설명 없이) · 다중=엔트리당 Title/Category(Cn)/Cut type/Prompt · 생성 요청=조용히 컴파일 후 툴 호출.

라우팅 표 (유일 라우팅 지점)

요청 신호 카테고리/포맷 읽을 파일
단독 인물 화보·에디토리얼 C1·Format B references/editorial-hwabo.md (룩북·시퀀스·패션 21종 +references/style-taxonomy.md)
타이포 포스터·글자가 곧 이미지 TP1~TP17 references/typo-poster-router.md→references/typo-poster/TPn-*.md 1개
활자 견본·글리프 세트·손절단 워드마크·인쇄 그라디언트 금속 TP15~TP17 references/typo-poster-router.md→ 해당 TPn-*.md 1개
홍보판촉물·브랜드 포스터·"디자인 잘된 포스터" P1~P12 references/promo-router.md→references/promo/Pn-*.md 1개. 카드뉴스 밀도 문법 금지(미감 사망)
표지 판면(앨범커버·북커버·패키징 라벨)·색면 분할·회화 표지·간판체 콜라주 P9~P12 references/promo-router.md→ 해당 Pn-*.md 1개
포스터·키아트·인포그래픽·카드뉴스·만화·도감·아이콘·뷰티·캠페인·목업 C2~C11 references/category-patterns.md 해당 §. C6·C7=밀도 기본값·돌파 전술 §C6
프레젠테이션·슬라이드 덱 C12 references/category-patterns.md §C12
무드("있어보이게"·"럭셔리"·"영화처럼") 룩 L1~L9 references/look-presets.md 프리셋 1개 드롭인
시안 다변화·양산 컨셉·"차별화"·"컨셉부터" M/R/X/T축 references/concept-axes.md 축 1개 변주
글자 배치·폰트·그리드·밀집 텍스트 — references/typography-layout.md
카메라·조명·색 어휘 — references/photo-vocab.md
jsonl 배치·모델 팩트·완성 예제·codex 골격·8섹션 변형 — references/jsonl-and-examples.md

라우터(P/TP)는 패턴 1개 선택 후 해당 파일 하나만 로드. 복수 행이 동시에 매칭되면 위쪽 행 우선(표 순서 = 우선순위) — 경계 케이스는 각 라우터의 경계·교차 참조 절이 우선한다.

철칙

  1. 앞머리 [AR x:y SIZE wxh] 브래킷 금지. size는 API 파라미터(jsonl size)로만, 프롬프트엔 끝 AR x:y 하나만. 슬롯 토큰([PERSONA_LOCK] 류)은 작성 전용 — 잔존=실격(E-SLOT-LEAK).
  2. 장면 배제는 전부 긍정형 — gpt-image-2는 장면 네거티브를 오히려 렌더한다(군중→"인물 한 명, 단독", 배경→"깨끗한 단색 배경"). 예외는 두 레인뿐, 우회가 아닌 컴플라이언스 스티어링.

Read the full file on GitHub · 122 lines

Files

What ships with it

60 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. 12d ago First seen · 122 lines · 231 tokens per session scan A 5e1695c2d7a9

Subscribe to this mod's changes

image-prompt is a skill published in the GitHub repository gongnyang/gongnyang-prompt-kit (324 stars, last pushed 1mo ago), licensed MIT. It adds 231 tokens to every session and 3,541 once invoked, about $0.0012 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.

Creative and mediaData and AIPrompting
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