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 kimlawtech · MCP Server · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is korean-contracts safe to install? View the security audit →
korean-contracts 한국 사업자를 위한 AI 계약서 자동 작성 도구 창업자·HR 담당자·소상공인이 근로계약서, 알바계약서, 프리랜서 계약서, 외주용역계약서 등 8종의 계약서를 Claude Code에서 대화형으로 작성할 수 있는 스킬 모음입니다. 2026년 최저임금·최신 대법원 판례를 반영하고, RULE 114 법률 검증을 통과한 계약서 초안을 + 두 가지 형식으로 자동 생성합니다. 한국 법률 AI 허브 SpeciAI에서 만들고 있습니다. 계약·노동·투자·지재권을 AI로 해결하는 창업자·변호사 커뮤니티에 초대합니다. → discord.gg/3gYGuMcqgb | @kimlawtech 지원 계약서 8종 연봉계약
| Stars | 61 |
| Forks | 10 |
| Language | Go Template |
| Category | MCP Server |
| Quality Score | 61.0921398964549/100 |
| Last Updated | 2026-08-29 |
| Created | 2026-04-20 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~18k |
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korean-contracts is 한국 사업자용 계약서 자동 생성 Claude Code 스킬. 9종 계약서(근로·알바·유연·일용·프리랜서·외주·변경·연봉) + MCP 개인정보 보호 서버. 2026 최저임금·최신 대법원 판례 반영.. It is categorized as a MCP Server with 61 GitHub stars.
korean-contracts is primarily written in Go Template. It covers topics such as agent-skills, claude-code, claude-skill.
You can find installation instructions and usage details in the korean-contracts GitHub repository at github.com/kimlawtech/korean-contracts. The project has 61 stars and 10 forks, indicating an active community.
The top alternatives to korean-contracts on Agent Skills Hub include mcp-taiwan-legal-db, claude-historian-mcp, skill-conductor. 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: