design-buddy: visual production Agent Skills for brand design systems, GPT-image-2 images, diagrams, infographics, logos

by SpaceZephyr · Agent Tool · ★ 187

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install design-buddy

npx skills add SpaceZephyr/design-buddy
git clone https://github.com/SpaceZephyr/design-buddy.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars187
Forks37
LanguagePython
CategoryAgent Tool
Quality Score60/100
Open Issues1
Last Updated2026-07-06
Created2026-03-31
Platformspython
Est. Tokens~15k

About design-buddy

Design Buddy design-buddy.skill 「你想做的下一张图，何必从空白画布开始」 公众号 / 小红书 / B站 / 知乎：空格的键盘 ｜ wzfh520@gmail.com Design Buddy 是一套给内容创作者、产品经理、独立开发者和设计协作者用的视觉生产 Skill 集合。 它帮你把文章、观点、产品逻辑、品牌概念、故事脚本和数据结构，转成封面、配图、信息图、逻辑图、架构图、Logo、故事板、幻灯片、公众号排版和社交媒体图片。 基于开放的 Agent Skills 协议，可在 Claude Code、Codex、Cursor、OpenClaw、Hermes Agent、CodeBuddy、Workbuddy、Gemini CLI、OpenCode 等兼容 runtime 中运行。 不是让 AI 随机画一张“看起来还行”的图。...

Compatible Skills

These tools work well together with design-buddy for enhanced workflows:

  • draw-ui — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • micu-image-mcp — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • design-judge-skills — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • chatgpt-imagegen — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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