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.
npx agentmods add skills/2233admin/design-pipeline/eli5npx skills add 2233admin/design-pipeline --skill eli5git clone --depth 1 https://github.com/2233admin/design-pipelineWrote 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.
[](https://agentmods.dev/skills/2233admin/design-pipeline/eli5)<a href="https://agentmods.dev/skills/2233admin/design-pipeline/eli5"><img src="https://agentmods.dev/badge/skills/2233admin/design-pipeline/eli5.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00039 | $0.00078 |
| Opus 5 | $0.00019 | $0.00039 |
| Sonnet 5 | $0.00008 | $0.00016 |
| Haiku 4.5 | $0.00004 | $0.00008 |
Grade A, and why
eli5 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 4d 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.
This is a copy
100% identical to eli5 — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
eli5
Explain like I'm someone who knows nothing about this topic, using a HTML artifact with big pictures and few words.
Topic: $ARGUMENTS
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.
- 4d ago First seen · 11 lines · 39 tokens per session scan A 3bb95cd13852
eli5 is a skill published in the GitHub repository 2233admin/design-pipeline (7 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 78 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to eli5, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
omd-apply
프로젝트 DESIGN.md를 UI/시각 작업의 brand context로 적용. 컴포넌트·색상·폰트·레이아웃 수정 같은 구체적 요청과 톤·분위기 표현 — KR '좀 더 따뜻하게', EN 'make it warmer/cooler', 日本語「もう少し暖かく」, 繁體中文「更溫暖一點」 — 모두에 트리거. DESIGN.md 부재 시 omd:init 우선. 화면 전체 신규 디자인은 omd:harness, 교정 기록은 omd:remember.
omd:learn
.omd/preferences.md의 status:pending 항목을 Core v2 System Graph에 합쳐 DESIGN.md를 재생성하고 status를 applied로 플립. '프리퍼런스 정리해줘', 'fold preferences', 'apply all corrections', 「好みをDESIGN.mdに反映」, 「套用偏好」류의 요청에 트리거. 단발성 교정 기록은 omd:remember.
omd:codex-image
이미지 placeholder를 동적으로 materialize. Codex 채널에서는 내장 image-generation primitive 호출, Claude Code 채널에서는 omd-asset-curator로 fall back, OpenCode에서는 spec dump. HTML/MD의 블록을 단일 source of truth로 사용. '이미지 생성해줘', '플레이스홀더 채워줘', '코덱스로 이미지 만들어' 류 트리거.
omd:experiment-gallery
N개 brand experiment를 한 화면에서 비교하는 gallery index.html을 생성. 각 카드는 brand name, wow rating, multi-turn refinement deltas, iframe scaled preview, standalone link 포함. '결과물 한 번에 보여줘', '갤러리 만들어', '5개 비교 뷰', 'experiment 결과 정리' 류 트리거. omd:harness가 N개 brand batch 작업 끝낸 직후 자동 호출되거나 사용자가 명시적으로 호출.
omd-lab-02-design-harness
Skill "omd-lab-02-design-harness" from kwakseongjae/oh-my-design, covering omd lab #02 — design harness refinement, 왜, 디렉토리 구조, lab run 프로토콜 and 새 v 정의 (lab 운영자 — 사용자 또는 claude).
omd:locale-adapter
한국어 canonical 문서·UX copy를 EN/JA/ZH-CN/ZH-TW로 번역이 아니라 locale adaptation한다. thesis·사실·명령어는 보존하되 문장 순서, 주어, register, 제품 용어와 호흡은 각 언어에서 다시 쓴다. '다국어 적용', '영문/일문/간체/대만어 버전', 'locale 문서 만들어줘' 요청에 사용한다.