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 muthuishere · Claude Skill · ★ 68
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hand-drawn-diagrams safe to install? View the security audit →
hand-drawn-diagrams AI skill for turning ideas, notes, systems, and flows into hand-drawn diagrams — with a hosted edit URL, animated video, and PNG, all from a single prompt. Jump to: What this is · Output · Quick start · Credits Example output Static PNG — exported on request: Animated SVG — draws itself stroke by stroke (view): What this is hand-drawn-diagrams is an AI skill (for Claude Code, Codex CLI, and compatible agents) that takes a natural language prompt and produces a hand-drawn diagram you can edit, animate, and share — without opening any app. You describe what you want. The AI picks the right diagram type, draws it in Excalidraw's sketch style, validates the layout, and hands you a live hosted URL. From there you can edit it in a browser, watch it animate, download the source, or export a PNG. How it's different from using Excalidraw directly Auto-generated animat
| Stars | 68 |
| Forks | 13 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 65.7016249555068/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-09 |
| Created | 2026-03-21 |
| Platforms | browser, claude-code, codex, python |
| Est. Tokens | ~14k |
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hand-drawn-diagrams is Hand-drawn diagram skill for Claude Code and Codex. Generates monochrome architecture, workflow, and UX blueprint diagrams as PNGs.. It is categorized as a Claude Skill with 68 GitHub stars.
hand-drawn-diagrams is primarily written in Python. It covers topics such as agent-skills, claude-code, codex.
You can find installation instructions and usage details in the hand-drawn-diagrams GitHub repository at github.com/muthuishere/hand-drawn-diagrams. The project has 68 stars and 13 forks, indicating an active community.
The top alternatives to hand-drawn-diagrams on Agent Skills Hub include excalidraw-skill, ask-user-questions-mcp, agent-designer. 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: