by bahayonghang · Codex Skill · ★ 276
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add bahayonghang/drawio-skillsTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 276 |
| Forks | 16 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71/100 |
| Last Updated | 2026-08-24 |
| Created | 2025-12-26 |
| Platforms | codex, node |
| Est. Tokens | ~15k |
Draw.io Skill for Claude, Gemini & Codex Important: Draw.io Skill 2.2.0 is a YAML-first, offline-first base workflow. The default path is local generation through , optionally enhanced by draw.io Desktop for PNG/PDF/JPG and embedded SVG export. The next-ai-draw-io MCP server () is optional live refinement for the base skill only, not a hard dependency.
These tools work well together with drawio-skills for enhanced workflows:
Looking for a drawio-skills alternative? If you're comparing drawio-skills with other codex skill 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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Teach your AI to draw correct, beautiful draw.io diagrams — declarative layout engine, ground-truth stencils,
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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: