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 axtonliu · AI Tool · ★ 3.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is axton-obsidian-visual-skills safe to install? View the security audit →
Featured in: Obsidian, Second Brain & LLM Wiki
Obsidian Visual Skills Pack 中文文档 Visual Skills Pack for Obsidian: generate Canvas, Excalidraw, and Mermaid diagrams from text with Claude Code. Next Step: Want to turn Skills from demo to asset? Check out Agent Skills Resource Library (includes slides, PDF, diagnostics) Demo Excalidraw Mermaid Canvas Hand-drawn style Hierarchical flowchart Colorful card layout Video Demo Status Status: Experimental - This is a public prototype that works for my demos, but does not yet cover all input scales and edge cases. - Output quality varies based on model version and input structure; resu
| Stars | 3,617 |
| Forks | 322 |
| Category | AI Tool |
| License | MIT |
| Quality Score | 70.636220045715/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-26 |
| Created | 2026-01-10 |
| Platforms | claude-code |
| Est. Tokens | ~18k |
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axton-obsidian-visual-skills is Visual Skills Pack for Obsidian: generate Canvas, Excalidraw, and Mermaid diagrams from text with Claude Code. It is categorized as a AI Tool with 3.6k GitHub stars.
You can find installation instructions and usage details in the axton-obsidian-visual-skills GitHub repository at github.com/axtonliu/axton-obsidian-visual-skills. The project has 3.6k stars and 322 forks, indicating an active community.
axton-obsidian-visual-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to axton-obsidian-visual-skills on Agent Skills Hub include claude-code-infrastructure-showcase, vision-agent, claudekit-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: