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 · MCP Server · ★ 267
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cowork-plugins safe to install? View the security audit →
cowork-plugins Claude Cowork 도메인 전문가 AI 마켓플레이스 자연어 한 줄이면 사업계획서, 계약서 검토, 세금 계산, PPT 제작, 데이터 분석, 특허 검색까지 — 16개 독립 플러그인과 65개 전문 스킬이 업무를 대신합니다. Domain expert AI marketplace for Claude Cowork. 16 plugins · 65 skills covering business strategy, marketing, legal, finance, HR, content, operations, education, lifestyle, product, support, document generation, data analysis, and research/patents. 목차 플러그인 카탈로그 총 산출물 설치 방법 플러그인 상세 소개 스킬 간 공유 기능 기술 특징 오픈소스 및 참고자료 기여 가이드 문의 및 지원 라이선스 플러그인 카탈로그 | [moai
| Stars | 267 |
| Forks | 63 |
| Language | HTML |
| Category | MCP Server |
| Quality Score | 61.6467619412745/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-19 |
| Created | 2026-02-15 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~19k |
These tools work well together with cowork-plugins for enhanced workflows:
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cowork-plugins is 모두의 AI (MoAI) — Claude Cowork & Claude Code 한국 실무 도메인 AI 하네스·플러그인 마켓플레이스. 사업계획서·세무·법률·HR·마케팅·커머스·BI·콘텐츠 도메인 스킬·에이전트·워크플로우. Korean B2B + office docs (HWPX/DOCX/XLSX/PPTX/PDF) + AI media (image/video/vo. It is categorized as a MCP Server with 267 GitHub stars.
cowork-plugins is primarily written in HTML. It covers topics such as agents, ai-agents, ai-marketplace.
You can find installation instructions and usage details in the cowork-plugins GitHub repository at github.com/modu-ai/cowork-plugins. The project has 267 stars and 63 forks, indicating an active community.
The top alternatives to cowork-plugins on Agent Skills Hub include claude-emporium, cc-skills, ios-simulator-skill. 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: