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 enonforetsam · MCP Server · ★ 57
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fluid safe to install? View the security audit →
Fluid Dependency-free WebGL studio for generating backgrounds, wallpapers, Open Graph images, and live embeddable canvases. One HTML file. No build step. No backend state. No runtime dependencies. Studio · Gallery · Manual · Dev/API Features WebGL1 fragment-shader renderer with 23 field engines, including a quasicrystal, paper marbling, string-art caustics, whirling pursuit polygons, Chladni plate figures, Cassini ovals, and topographic contours. Kaleidoscope symmetry modifier: fold any field into an N-fold radial mandala. Layers: stack up to three engines, each blending onto everything under it with multiply / screen / add / difference / overlay. Math lenses: bend the plane throu
| Stars | 57 |
| Forks | 9 |
| Language | HTML |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.0009650167685/100 |
| Last Updated | 2026-08-27 |
| Created | 2026-06-21 |
| Platforms | browser, mcp |
| Est. Tokens | ~17k |
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fluid is Dependency-free WebGL studio for generative backgrounds and live embeds.. It is categorized as a MCP Server with 57 GitHub stars.
fluid is primarily written in HTML. It covers topics such as background, canvas, cloudflare-workers.
You can find installation instructions and usage details in the fluid GitHub repository at github.com/enonforetsam/fluid. The project has 57 stars and 9 forks, indicating an active community.
fluid is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to fluid on Agent Skills Hub include squeez, Embody, mcp-memory. 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: