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 modu-ai · Claude Skill · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is moai-adk safe to install? View the security audit →
MoAI-ADK Agentic Development Kit for Claude Code English · 한국어 · 日本語 · 中文 Official Documentation 📚 Official Documentation
| Stars | 1,228 |
| Forks | 226 |
| Language | Go |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 69.331739747711/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-03 |
| Created | 2025-09-16 |
| Platforms | claude-code, cli, go |
| Est. Tokens | ~27k |
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moai-adk is Agentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Single Go binary, 16 languages, zero deps.. It is categorized as a Claude Skill with 1.2k GitHub stars.
moai-adk is primarily written in Go. It covers topics such as agentic-ai, agentic-coding, agentic-workflow.
You can find installation instructions and usage details in the moai-adk GitHub repository at github.com/modu-ai/moai-adk. The project has 1.2k stars and 226 forks, indicating an active community.
moai-adk is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to moai-adk on Agent Skills Hub include claude-code-ultimate-guide, pilot-shell, Mysti. 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: