multi-method-image-generation

multi-method-image-generation is a skill for Claude Code, Codex from bam-bam-2/solo-skills. It costs 48 tokens per session (923 once invoked), scanned A, original, MIT.

An image-making workflow that tries multiple available sources and methods, including image-generation services, HTML and CSS rendering, existing photos, and website assets. It creates several candidates so they can be compared and recommended.

In plain words
What is it for?
Use it to create images, banners, simple infographics, or photo-based visuals by comparing generated, rendered, personal, and existing web-asset options.
Why use it?
A single image method may be unsuitable for a particular job, such as a data graphic, brand banner, or real place photo. This workflow helps choose an approach based on the intended use.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also runs codex exec. Also seen: mentions Codex.

Part of the solo-skills plugin — 26 skills shipped together

Good fit Use it to create images, banners, simple infographics, or photo-based visuals by comparing generated, rendered, personal, and existing web-asset options.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bam-bam-2/solo-skills/multi-method-image-generation
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 bam-bam-2/solo-skills --skill multi-method-image-generation
Clone the repo
git clone --depth 1 https://github.com/bam-bam-2/solo-skills

Made for: Claude Code, Codex.

Or install solo-skills, the plugin that ships this one along with the rest of its 26 skills.

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 multi-method-image-generation

README.md
[![agentmods](https://agentmods.dev/badge/skills/bam-bam-2/solo-skills/multi-method-image-generation/github.svg)](https://agentmods.dev/skills/bam-bam-2/solo-skills/multi-method-image-generation)
Your own site
<a href="https://agentmods.dev/skills/bam-bam-2/solo-skills/multi-method-image-generation"><img src="https://agentmods.dev/badge/skills/bam-bam-2/solo-skills/multi-method-image-generation/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 multi-method-image-generation

Your own site · 80×15
<a href="https://agentmods.dev/skills/bam-bam-2/solo-skills/multi-method-image-generation"><img src="https://agentmods.dev/badge/skills/bam-bam-2/solo-skills/multi-method-image-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 923 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 $0.00048 $0.00923
Opus 5 $0.00024 $0.00462
Sonnet 5 $0.00010 $0.00185
Haiku 4.5 $0.00005 $0.00092

Measured 10d ago against content hash 430625b53d5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

multi-method-image-generation 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 10d 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/multi-method-image-generation/SKILL.md · 32 lines

What it actually says

이미지 총동원 제작

목표: "총동원"이라는 말이 나오면 한 가지 방법으로 하나만 뽑아서 끝내지 않는다. 가진 무기를 다 꺼내서 후보를 여러 개 만들고, 비교해서, 근거를 대고 추천한다.

가용한 이미지 소스 (환경별로 있는 만큼 사용)

  1. 코덱스 이미지 생성: codex exec --skip-git-repo-check "<프롬프트>". 결과물은 ~/.codex/generated_images/<session-id>/<파일>.png에 저장됨 (codex의 sandbox가 read-only인 경우가 많아 원하는 경로로 직접 저장 못할 수 있음 — 출력 메시지에서 실제 생성 경로를 확인해 별도로 복사할 것).
  2. 제미나이 이미지 생성: 파이썬 google-genai SDK로 직접 호출. API 키는 다른 프로젝트(~/geuljam-bot/.env, ~/zoom-booking-bot/.env 등)의 GEMINI_API_KEY를 재사용 가능. 모델명은 이미지 생성 지원 모델(예: gemini-2.5-flash-image)을 쓴다.
  3. HTML/CSS 렌더링 + 스크린샷: 브랜드 컬러·타이포를 정확한 코드값으로 통제하고 싶을 때 (통계 카드, 표, 간단한 인포그래픽 등). 브라우저 탭에 document.open()/write()/close()로 렌더링 후 스크린샷. 뷰포트 높이를 넘는 clip을 잡으면 렌더링이 중복되는 버그가 있으니 캔버스 크기를 뷰포트 안으로 맞출 것.
  4. 사용자 사진 라이브러리: iCloud 동기화된 아이폰 사진 원본 (naver-travel-post 스킬의 방법 참고). 실제 인물/장소 사진이 필요할 때.
  5. 홈페이지/기존 자산의 이미지: example.com, litt.ly 등 이미 만들어둔 브랜드 이미지를 재활용.
  6. 웹 이미지 검색: 사용자 소유가 아닌 참고/스톡 이미지가 필요할 때만.

절차

  1. 요청받은 이미지의 용도를 먼저 파악한다 (단독 노출용 vs 텍스트를 얹을 배너용 vs 데이터 시각화 vs 실제 인물/장소 사진 필요).
  2. 용도에 맞을 만한 방법 2개 이상을 골라 각각 실제로 생성/수집해서 후보를 만든다. 코덱스와 제미나이는 프롬프트를 동일한 브랜드 톤(색상 코드, 절제된 구도, 로고/텍스트 없음 등)으로 맞춰서 비교 가능하게 만든다.
  3. 후보들을 나란히 display()로 보여준다.
  4. 각 후보의 장단점을 용도 기준으로 짧게 비교하고 하나를 추천한다 (예: "화면을 꽉 채우는 A는 단독 노출에 낫고, 여백이 넓은 B는 텍스트 얹는 배너에 낫다").
  5. 사용자 확인 후 최종본을 실제 콘텐츠(블로그, 페이지 등)에 반영한다.

주의

  • 코덱스/제미나이로 만든 이미지도 브랜드 컬러(커뮤니티: #0d0d0d 블랙 / #d4f000 라임 / #7b2fff 퍼플)를 프롬프트에 명시해서 브랜드 무드를 유지한다.
  • 사용자는 "브랜드 컬러를 넣었다고 다가 아니라, 색을 넣어도 촌스럽게/노골적으로 쓰면 싫어한다" — 절제된 구도, 강조색은 소수 포인트에만, 과한 대칭·장식 지양.
  • API 키를 다른 프로젝트에서 재사용할 때는 평문으로 채팅에 노출하지 않는다.
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. 10d ago First seen · 32 lines · 48 tokens per session scan A 430625b53d5b

Subscribe to this mod's changes

multi-method-image-generation is a skill published in the GitHub repository bam-bam-2/solo-skills (362 stars, last pushed 6d ago), licensed MIT. It adds 48 tokens to every session and 923 once invoked, about $0.0002 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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