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 laguagu · MCP Server · ★ 67
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-nextjs-skills safe to install? View the security audit →
🧠 Claude Code AI Skills Skills for building AI applications, especially Next.js + bun runtime. ⚡ Quick Start 📋 Skills 🚀 App Generators 🎨 UI & Design ⚡ Next.js Cache Components
| Stars | 67 |
| Forks | 18 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.4535979063093/100 |
| Last Updated | 2026-10-01 |
| Created | 2026-01-11 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~15k |
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claude-code-nextjs-skills is Claude Code skills for AI apps • Next.js 16 • AI SDK 7 • pgvector • bun. It is categorized as a MCP Server with 67 GitHub stars.
claude-code-nextjs-skills is primarily written in TypeScript. It covers topics such as anthropic-skills, bun, claude.
You can find installation instructions and usage details in the claude-code-nextjs-skills GitHub repository at github.com/laguagu/claude-code-nextjs-skills. The project has 67 stars and 18 forks, indicating an active community.
claude-code-nextjs-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-code-nextjs-skills on Agent Skills Hub include mcp-claude-code, deepcontext-mcp, loop. 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: