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 2389-research · MCP Server · ★ 93
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-plugins safe to install? View the security audit →
2389 Research Claude Code Plugin Marketplace 28 plugins and MCP servers for Claude Code — parallel exploration, iterative refinement, binary reverse engineering, structured decision-making, and more. Built by the team at 2389. These are the tools we use every day. Browse the marketplace: https://2389-research.github.io/claude-plugins Quick Start Available Plugins Meta Plugins Development Firebase project workflows: setup, feature
| Stars | 93 |
| Forks | 7 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.8248227458041/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-16 |
| Created | 2025-10-15 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~14k |
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claude-plugins is 28 plugins and MCP servers for Claude Code — TDD, multi-agent orchestration, iterative refinement, binary RE, structured decisions. Install any skill in one command.. It is categorized as a MCP Server with 93 GitHub stars.
claude-plugins is primarily written in JavaScript. It covers topics such as agentic, ai-agents, ai-coding.
You can find installation instructions and usage details in the claude-plugins GitHub repository at github.com/2389-research/claude-plugins. The project has 93 stars and 7 forks, indicating an active community.
claude-plugins is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-plugins on Agent Skills Hub include claude-emporium, claude-code-open, orchestkit. 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: