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 yonatangross · MCP Server · ★ 259
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is orchestkit safe to install? View the security audit →
OrchestKit Stop explaining your stack. Start shipping. 111 skills · 37 agents · 210 hooks Explore the Docs → · OrchestKit Users Group → Skill browser, demo gallery, setup wizard Contents Quick Start Why OrchestKit? What You Get Key Commands Configuration Install Release Channels FAQ Development What's New Community Quick Start bash /plugin marketplace add yonatangross/orchestkit /
| Stars | 259 |
| Forks | 26 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74.7134505494087/100 |
| Open Issues | 98 |
| Last Updated | 2026-09-12 |
| Created | 2025-12-31 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~16k |
Looking for a orchestkit alternative? If you're comparing orchestkit with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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orchestkit is The Complete AI Development Toolkit for Claude Code. 106 skills, 36 agents, 171 hooks. Install `ork` for stable (v9.x), or `ork-alpha` for the v10 line, which ships daily.. It is categorized as a MCP Server with 259 GitHub stars.
orchestkit is primarily written in TypeScript. It covers topics such as agent-orchestration, agents, ai-agents.
You can find installation instructions and usage details in the orchestkit GitHub repository at github.com/yonatangross/orchestkit. The project has 259 stars and 26 forks, indicating an active community.
orchestkit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to orchestkit on Agent Skills Hub include claude-emporium, agent-skills, OmoiOS. 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: