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 jabrena · MCP Server · ★ 443
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is plinth safe to install? View the security audit →
Commands, Agents & Skills for Java Languages: Español · 中文 Help this project grow: Become a sponsor Goal An opinionated AI-native workflow for evolving modern Java Enterprise practices through reusable , , & . What is a Plinch? A represents the solid foundation or platform used to support statues or artworks in art and sculpture. It served as a structural and symbolic foundation for columns, statues, and entire temple podiums. Romans inherited the idea from Greek architecture but expanded its use to emphasize monumentality, hierarchy, and imperial power. Project at a glance 12 Commands 9 Agents 116 Skills Latest Updates Explore the latest published content on the project website and follow its evolution
| Stars | 443 |
| Forks | 95 |
| Language | Java |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.5236111561299/100 |
| Open Issues | 20 |
| Last Updated | 2026-10-02 |
| Created | 2025-02-08 |
| Platforms | claude-code, codex, java, mcp |
| Est. Tokens | ~19k |
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plinth is Plinth is an AI-native engineering toolkit for modern Java enterprise SDLC, built around reusable Commands, Agents, Skills, and MCP Servers.. It is categorized as a MCP Server with 443 GitHub stars.
plinth is primarily written in Java. It covers topics such as agent-skills, ai-skills, claude.
You can find installation instructions and usage details in the plinth GitHub repository at github.com/jabrena/plinth. The project has 443 stars and 95 forks, indicating an active community.
plinth is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to plinth on Agent Skills Hub include awesome-ai-agent-skills, getspecstory, ok-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: