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wxkingstar/ai-output-runtime

Schema-validated JSON blocks for AI-generated reports — Markdown source, safe runtime, zero AI-generated HTML/CSS/JS. Works with Claude Code, Codex, any agent.

JavaScript MIT GitHub ↗ 公開URL ↗
★ 0
stars
100
AI関連スコア
65
個人開発度
1
AIツール痕跡

SUMMARY AI要約 by gpt-5-mini

AI Output Runtime (AIO) is a tiny safe renderer that turns agent-generated Markdown + schema-validated JSON blocks into polished HTML reports. Instead of letting the AI emit executable HTML/CSS/JS, AIO requires four vetted block types (table, metric-cards, callout, chart) embedded in CommonMark; a ~38 KB runtime produces the UI, preventing inline handlers, remote loads, or arbitrary markup. Who uses it: developer teams and agents (Claude Code, Codex, or any agent) that need reviewable, data-driven reports from LLMs without introducing XSS or supply-chain risk. Key features: - Schema validation and CLI validator; invalid blocks degrade to safe code blocks - Two render modes: CDN script or CLI to create self-contained HTML (inline runtime) - Stable components: aio:table@1, aio:metric-cards@1, aio:callout@1; candidate: aio:chart@1 - ~38 KB, zero dependencies; light/dark themes; i18n (en, zh-CN); print/PDF friendly - CDN with optional SRI, MIT license, specs and schemas included for extension and auditing

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Claude Code CLAUDE.md

DETECTED 検出されたAIスタック

このRepoのdescription / GitHub topics / READMEのAI要約に出現したAI関連キーワードをカテゴリ別に表示。各バッジは該当カテゴリの詳細ランキングへリンクします。

🧠 LLMプロバイダー (1)
Anthropic
🤖 LLMモデル (1)
Claude

GitHub Topics

#ai-agent #ai-output #claude-code #json-schema #markdown #runtime #agent-skill #agent-tooling #aio #anthropic #chart #claude #codex #data-visualization #llm #report-generation #structured-output #zero-dependency #safe-rendering

使用言語(バイト数比)

JavaScript
100%

オーナー情報

アカウント
wxkingstar
タイプ
User
フォロワー
22

日付

GitHub作成日 2026-05-11
最終Push 2026-05-11
当サイト初検出 2026-05-11
最終取得 2026-05-11 16:10

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