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 Classic298 · MCP Server · ★ 539
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-webui-plugins safe to install? View the security audit →
🧩 Open WebUI Plugins A curated collection of plugins for Open WebUI — tools, skills, filters, pipes, and actions that extend your AI chat experience. Each plugin lives in its own folder with a README explaining what it does, what components it includes, and how to set it up. Plugins (v1 Legacy) - Interactive HTML/SVG visualizations inline in chat.
| Stars | 539 |
| Forks | 26 |
| Language | Python |
| Category | MCP Server |
| License | BSD-3-Clause |
| Quality Score | 60.7186138764559/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-07 |
| Created | 2026-03-10 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~14k |
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open-webui-plugins is A curated collection of Open WebUI plugins - tools, skills, filters, pipes, actions and events that extend your AI chat experience.. It is categorized as a MCP Server with 539 GitHub stars.
open-webui-plugins is primarily written in Python. It covers topics such as action, anthropic-skills, cusomization.
You can find installation instructions and usage details in the open-webui-plugins GitHub repository at github.com/Classic298/open-webui-plugins. The project has 539 stars and 26 forks, indicating an active community.
open-webui-plugins is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.
The top alternatives to open-webui-plugins on Agent Skills Hub include OpenWebui-Tools, research-units-pipeline-skills, MagicSkills. 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: