by snflkd · Claude Skill · ★ 696
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add snflkd/fluent-korean
/plugin install fluent-korean@fluent-korean
Taken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 696 |
| Forks | 52 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 62/100 |
| Last Updated | 2026-08-23 |
| Created | 2026-07-10 |
| Platforms | claude-code |
| Est. Tokens | ~9k |
fluent-korean (Claude Code output-style) 이 플러그인은 LLM, 특히 클로드와 코딩 에이전트가 명확한 한국어를 유창하게 구사하도록 지시하는 출력 스타일을 제공합니다. 수려한 문체보다는 확실한 의미 전달을 추구하며, 비교적 자연스러운 문장을 목표로 합니다. 한국어로 명령을 입력하는 경우, 작업 결과물에 한국어가 포함된 경우에 특히 유용합니다. Claude Code 환경에 적합한 Plugin이지만, 글쓰기 지침에 해당하는 텍스트를 적절하게 활용하면 다른 AI에도 적용할 수 있습니다. 설치법은 아래에서 다시 자세하게 설명드리겠으나, 현재 사용 중인 LLM에게 아래와 같이 한 문장으로 말하는 것을 추천드립니다.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: