by wentong2022-arch · Claude Skill · ★ 134
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Generate professional draw.io diagrams from natural language — a Claude Code skill
| Stars | 134 |
| Forks | 13 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 62.3781961389826/100 |
| Last Updated | 2026-07-04 |
| Created | 2026-04-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~13k |
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flowforge-skill is Generate professional draw.io diagrams from natural language — a Claude Code skill. It is categorized as a Claude Skill with 134 GitHub stars.
flowforge-skill is primarily written in Python. It covers topics such as ai-tools, architecture-diagrams, claude-skill.
You can find installation instructions and usage details in the flowforge-skill GitHub repository at github.com/wentong2022-arch/flowforge-skill. The project has 134 stars and 13 forks, indicating an active community.
flowforge-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to flowforge-skill on Agent Skills Hub include arbor, thesis-figure-skill, svg-diagram. 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: