markdy-com: Open-source animated architecture diagrams as code

Security audit verdict: SAFE · quality 62/100

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

About markdy-com

Markdy Diagram-as-code DSL for animated architecture &amp; system design explainers. Write declarative MarkdyScript → render 60fps browser-native kinetic diagrams powered by the Web Animations API. ⚡ Live Studio &nbsp;•&nbsp; 🔌 VS Code Extension &nbsp;•&nbsp; 📖 Documentation &nbsp;•&nbsp; 🌟 29+ Examples &nbsp;•&nbsp; 🤖 AI &amp; Agent Guide <a h

Compatible Skills

These tools work well together with markdy-com for enhanced workflows:

• archinsight — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
• drawbridge — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)

markdy-com alternative? Top 6 similar tools

Looking for a markdy-com alternative? If you're comparing markdy-com with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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• excalimate by excalimate · ⭐ 95

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• three.ws by nirholas · ⭐ 249

  Open-source platform for 3D AI agents. Turn text or a photo into a rigged, animated GLB avatar, give it an LLM

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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:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this