No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by geekjourneyx · Claude Skill · ★ 463
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-design-card safe to install? View the security audit →
claude-design-card 14 种格式，一套审美标准 — Claude 设计语言驱动的卡片生成技能 这是什么 将任意文本、网页或 URL 转化为精致的可发布卡片，覆盖平台封面、社交分享、长文编辑排版。所有卡片严格遵循 Claude/Anthropic 设计系统：Parchment 暖色基调、Georgia 衬线字体、Terracotta 强调色，14 种格式一套审美标准。 核心特性 工作流程 环境依赖 安装 作为 AI Skill（推荐）： 本地开发： 快速上手 bash 固定尺寸（平台封面、内容卡） bun
| Stars | 463 |
| Forks | 45 |
| Language | TypeScript |
| Category | Claude Skill |
| Quality Score | 62.4954666020952/100 |
| Last Updated | 2026-05-27 |
| Created | 2026-04-25 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
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claude-design-card is Claude Code skill for generating design cards in 14 formats — platform covers, social sharing cards, and editorial layouts following Anthropic. It is categorized as a Claude Skill with 463 GitHub stars.
claude-design-card is primarily written in TypeScript. It covers topics such as agent-skills, card-generator, claude-code.
You can find installation instructions and usage details in the claude-design-card GitHub repository at github.com/geekjourneyx/claude-design-card. The project has 463 stars and 45 forks, indicating an active community.
The top alternatives to claude-design-card on Agent Skills Hub include modsearch, mckinsey-style-visualization-skill, ux-ui-agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: