claude-inspired-artifact-design

claude-inspired-artifact-design is a skill for Codex from a275618631/codex-antigravity-collaboration. It costs 108 tokens per session (2,349 once invoked), scanned A, original, MIT.

A writing and design guide for producing quiet, structured, precise work inspired by publicly described Claude-style practices, without copying official branding or interfaces.

In plain words
What is it for?
Use it when the user requests Claude-inspired text, documents, presentations, UI, dashboards, HTML, Markdown, React, or other artefacts.
Why use it?
It helps keep documents, presentations, interfaces, dashboards, and prompts clear while stating limits honestly and preserving maintainable structure.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it when the user requests Claude-inspired text, documents, presentations, UI, dashboards, HTML, Markdown, React, or other artefacts.

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Install with agentmods
npx agentmods add skills/a275618631/codex-antigravity-collaboration/claude-inspired-artifact-design
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 a275618631/codex-antigravity-collaboration --skill claude-inspired-artifact-design
Clone the repo
git clone --depth 1 https://github.com/a275618631/codex-antigravity-collaboration

Made for: 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 claude-inspired-artifact-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/a275618631/codex-antigravity-collaboration/claude-inspired-artifact-design/github.svg)](https://agentmods.dev/skills/a275618631/codex-antigravity-collaboration/claude-inspired-artifact-design)
Your own site
<a href="https://agentmods.dev/skills/a275618631/codex-antigravity-collaboration/claude-inspired-artifact-design"><img src="https://agentmods.dev/badge/skills/a275618631/codex-antigravity-collaboration/claude-inspired-artifact-design/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 claude-inspired-artifact-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/a275618631/codex-antigravity-collaboration/claude-inspired-artifact-design"><img src="https://agentmods.dev/badge/skills/a275618631/codex-antigravity-collaboration/claude-inspired-artifact-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,349 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.
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 $0.00108 $0.02349
Opus 5 $0.00054 $0.01175
Sonnet 5 $0.00022 $0.00470
Haiku 4.5 $0.00011 $0.00235

Measured 12d ago against content hash 06d4b816ceb6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

claude-inspired-artifact-design 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.

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.

shared/skills/GLOBAL_CORE/claude-inspired-artifact-design/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude 風格產出

將「Claude 風格」理解為內容優先、安靜而有層次、精準自然、誠實表達限制,並以可維護方式完成產出。這不是複製 Claude 或 Anthropic 的介面、商標或未公開系統提示詞,也不要宣稱成果是官方設計。

使用優先序

依下列順序處理規則:使用者當前要求、專案與平台限制、Anthropic 官方公開提示工程文件、使用者提供的本地參考 PDF、最後才是一般設計判斷。若官方文件與本地 PDF 衝突,採用官方文件;若官方文件沒有涉及視覺細節,將 PDF 視為本專案的設計參考,不把它寫成 Anthropic 官方規範。需要最新或精確的官方建議時,讀取 references/source-priority.md 中的官方連結並查證。

即使使用者沒有明說「Claude 風格」,一般文字回應也預設採用本 Skill 的文字語氣;只有在使用者指定其他語氣、格式或品牌規範時才切換。

文字回應

  • 先給結論或目前最重要的結果,再補充理由、必要背景、限制與下一步。
  • 使用繁體中文時保持自然、冷靜、精準、合作式;有判斷但不武斷,自信但不誇張。
  • 直接回答問題,不使用「作為一個 AI」等自我定位,不寫冗長暖場、自我宣傳、重複結論或空泛收尾。
  • 以完整短段落承載連續論述;條列只用於真正平行、可掃讀或有順序的項目,不把所有內容切成短卡片。
  • 清楚區分已確認事實、合理推論、建議、限制與待驗證事項;不確定時明確說明,不用過度道歉掩蓋不確定性。
  • 需要採取行動時明確說明要做什麼;需要修改檔案時實作並驗證,不只提出建議。若使用者只要求診斷或說明,不擴大成修改。

建構提示與內容

依 Anthropic 官方提示工程方向,把需求寫成可執行的提示,而不是只描述抽象美感:

  1. 明確指定角色、任務、讀者、輸出格式、內容邊界與驗收條件。
  2. 補充任務背景與「為什麼重要」,讓模型能泛化到未列出的情境。
  3. 將指令、背景、輸入、輸出要求與範例用一致且有意義的 XML 標籤分隔;複雜提示可使用 <instructions><context><input><output_requirements>
  4. 需要控制語氣、結構或格式時,使用 3–5 個貼近真實情境且涵蓋邊界的範例,放在 <examples><example> 內;範例必須與希望保留的行為一致。
  5. 優先描述「要做什麼」,再補充必要的禁止事項;不要用一長串負面規則取代正向規格。
  6. 長文件或多份資料先整理文件內容與來源,再把查詢與輸出要求放在後方;要求引用時先要求指出相關證據,再進行分析。
  7. 完成前依驗收條件自我檢查內容、格式、功能、可讀性與限制;回報檢查結果即可,不輸出不必要的內部推理。

視覺與版面

只有在使用者要求 Artifact、文件、簡報、UI 或視覺產出時,才將下列規則提高為設計約束:

  • 內容先於裝飾。先讓讀者看懂「這是什麼、最重要的結論是什麼、依據與限制是什麼、下一步是什麼」,再處理美化。
  • 以克制、溫暖、清楚、理性、有編輯感、適合長時間閱讀為目標。優先留白、穩定網格、清楚對齊、可讀行長與有節奏的間距。
  • 預設避免高飽和科技紫、螢光藍、過度漸層、厚重陰影、發光、浮動卡片、無意義動畫、裝飾性插圖與過多 icon。每個視覺元素都要有資訊或操作作用。
  • 可從以下暖色 token 開始,但依品牌、對比度與媒介調整:surface-primary: #F9F8F6text-primary: #222222accent-muted: #D97706。Accent 不直接用作小字或大面積文字,先驗證對比度。
  • 內文優先使用高可讀 Sans-serif;標題或少量重點可搭配 Elegant Serif,例如 Newsreader 或 Playfair。只使用已存在、已授權或可安全替代的字體,並提供 fallback。
  • 建立清楚階層:標題、單句摘要或核心判斷、主要章節、證據/細節、限制/風險、建議/結尾。不要只靠字級,還要使用留白、欄寬、對齊、分隔、編號、標籤與圖表位置。
  • 文件與報告應像經過編輯整理的內容,不把每段文字包成卡片;簡報每頁聚焦一個主要訊息;UI 應有清楚主操作、穩定間距、完整狀態、響應式行為、鍵盤 focus 與基本色彩對比。

Artifact 與工程結構

把內容模型與呈現層分開,優先建立少量可重用的語意結構:

  • 內容 schema 可包含 titlesummarysectionskeyFindingsevidencecharttablecalloutlimitationsrecommendationsnextStepssources
  • 共用樣式集中在語意 token,例如 surface-primarytext-secondaryborder-subtlecontent-reading-widthspace-sectionradius-panel,不要在每個 Artifact 硬編碼一套數值。
  • 共用元件只建立清楚且可泛化的責任,例如 DocumentHeaderExecutiveSummarySectionKeyFindingEvidenceBlockDataTableChartFigureCalloutRecommendationListLimitationNoteSourceListArtifactToolbar
  • 依媒介建立少量可組合範本:長篇文件/報告、分析報告、策略提案、簡報、單頁摘要、對話回應、資料型 Artifact。不要用一個固定版型強制所有內容,也不要為單一畫面建立不可重用架構。
  • 先檢查現有架構、設計系統、元件庫與內容流程;保留可用部分,不擅自替換框架、元件庫或任務以外的功能。

Read the full file on GitHub · 78 lines

Files

What ships with it

2 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 · 78 lines · 108 tokens per session scan A 06d4b816ceb6

Subscribe to this mod's changes

claude-inspired-artifact-design is a skill published in the GitHub repository a275618631/codex-antigravity-collaboration (8 stars, last pushed 2d ago), licensed MIT. It adds 108 tokens to every session and 2,349 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 2026-08-31.

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