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 xixu-me · Claude Skill · ★ 134
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-toolkit safe to install? View the security audit →
Claude Code Toolkit (CCT) 汉语 A comprehensive cross-platform toolkit for managing Claude Code installation, configuration, and multiple Anthropic-compatible API provider support. This toolkit simplifies the process of setting up and switching between different Anthropic-compatible API providers, including the official Anthropic API and compatible third-party services like Moonshot AI with the latest Kimi model () that implement Anthropic's API specification. 🍬 Claude Code Sugar Looking for broader model compatibility? Check out Claude Code Sugar - a lightweight loca
| Stars | 134 |
| Forks | 14 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 80.23239967072/100 |
| Last Updated | 2026-08-18 |
| Created | 2025-07-19 |
| Platforms | claude-code, cli |
| Est. Tokens | ~9k |
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claude-code-toolkit is Comprehensive cross-platform toolkit for Claude Code. It is categorized as a Claude Skill with 134 GitHub stars.
claude-code-toolkit is primarily written in Shell. It covers topics such as claude-code, cross-platform, toolkit.
You can find installation instructions and usage details in the claude-code-toolkit GitHub repository at github.com/xixu-me/claude-code-toolkit. The project has 134 stars and 14 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 claude-code-statusline, ai-toolkit, clauder. 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: