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 notque · Agent Tool · ★ 354
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-toolkit safe to install? View the security audit →
Claude Code Toolkit Agents, skills, and hooks that make Claude Code behave like a team instead of a generalist. You say and a router picks a Go specialist, loads a debugging methodology, and enforces gated phases. You get domain expertise and structured workflows without managing any of it yourself. Built over a year of daily use. Built with the toolkit A game built entirely by Claude Code using these agents, skills, and pipelines — from design through implementation. Quick Install More details in start-here.md. Choose Your Path I just want to use it — Install in 2 minutes, learn a few commands. Done. I do knowledge work — Content pipelines, research workflows, community moderation. No code required. I'm a developer — Architecture, extension points, how to add your own agents and skills. I'm an AI power user — Routing tables, pipeline architecture, hook system, the learning database. [I'm an AI agen
| Stars | 354 |
| Forks | 34 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.850272790796/100 |
| Open Issues | 3 |
| Last Updated | 2026-04-30 |
| Created | 2026-03-18 |
| Platforms | claude-code, python |
| Est. Tokens | ~1419k |
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claude-code-toolkit is AI Agent System - Creator of the /do router. It is categorized as a Agent Tool with 354 GitHub stars.
claude-code-toolkit is primarily written in Python. It covers topics such as ai, ai-agents, ai-pipelines.
You can find installation instructions and usage details in the claude-code-toolkit GitHub repository at github.com/notque/claude-code-toolkit. The project has 354 stars and 34 forks, indicating an active community.
claude-code-toolkit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-code-toolkit on Agent Skills Hub include quint-code, maestro, deepcontext-mcp. 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: