Skill 审计报告
humanize-korean 审计报告.
AI(ChatGPT·Claude·Gemini 등)가 쓴 한글 텍스트를 "사람이 쓴 글처럼" 윤문해주는 오케스트레이터 스킬. 번역투·영어 인용 과다·기계적 병렬·관용구·피동태 남용·접속사 남발·리듬 균일성·이모지/불릿 과다 등 10대 카테고리 40+ AI 티 패턴을 탐지·분류해 내용은 한 글자도 건드리지 않고 문체·리듬·표현만 자연스러운 한국어로 재작성한다. 트리거 — "AI 티 없애줘", "AI 같은 글 자연스럽게", "GPT/ChatGPT 문체", "AI 번역투 고쳐", "사람이 쓴 것처럼 윤문", "AI 윤문", "ChatGPT 티 제거", "한글 AI 탐지·윤문", "AI 글 사람처럼", "번역투 제거", "영어 인용 많은 글 윤문", "AI 글 티 안 나게", "휴머나이저", "humanize Korean", "AI detector bypass 한글". 후속 작업 — "특정 카테고리만 다시", "윤문 강도 조정", "장르 바꿔서", "이 문단만", "2차 윤문" 도 모두 이 스킬. 단순 맞춤법·오탈자 교정은 직접 처리, 번역은 번역 스킬, 내용 추가·삭제를 동반한 재작성은 별도 집필 스킬.
OpenAgentSkill 信任评分
OpenAgentSkill 信任评分
Trust Score 帮助 Agent 在安装前判断一个 Skill 是否足以进入候选清单。
GitHub 采用度
信息62
128 个 GitHub Stars
Star/Fork 活跃度
警告57
128 个 Star,22 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过100
今天有推送
许可证清晰度
通过86
MIT
README/SKILL.md 完整度
通过86
元数据包含足够的用法与工作流上下文
依赖与运行时风险
信息72
命令执行范围
安装可用性
通过92
npx skills add bam-bam-2/solo-skills --skill humanize-korean
安装命令安全性
通过92
标准软件包或运行时安装路径
权限范围
信息76
Shell 或命令执行
仓库证据
通过86
https://github.com/bam-bam-2/solo-skills/tree/main/skills/humanize-korean
审查状态
信息66
可用 AI 审查数据
Agent 验证结果
信息54
暂未有 Agent 结果数据
检查项
安装与采用审查
安装路径
92
npx skills add bam-bam-2/solo-skills --skill humanize-korean
仓库
88
https://github.com/bam-bam-2/solo-skills/tree/main/skills/humanize-korean
许可证
86
MIT
维护
100
今天有推送
AI 审查
55
SKILL.md opens with a lengthy version changelog (v1.5 변경 고지 with prior v1.2–v1.4 failures) instead of a quick-start; new users must read through historical rollout notes before reaching usage instructions.
README/SKILL.md 完整度
86
Usable description available
依赖风险
72
命令执行范围
安装命令安全性
92
标准软件包或运行时安装路径
权限范围
76
Shell 或命令执行
Star/Fork 活跃度
57
128 个 Star,22 个 Fork; 当前元数据中没有议题活跃度信息
采用度
68
128 个 GitHub Stars
警告
- SKILL.md opens with a lengthy version changelog (v1.5 변경 고지 with prior v1.2–v1.4 failures) instead of a quick-start; new users must read through historical rollout notes before reaching usage instructions.
- Workflow inconsistency: the fast-mode Phase 2 states the monolith agent '메모리에서 패턴 탐지 + 윤문 + 자체검증' and does not mention running metrics.py, but references/metrics.py documents itself as an 'external pre-processor for the monolith fast path' with a CLI designed to run BEFORE the monolith. It is unclear whether metrics.py is actually invoked in the default path.
- The six referenced agents (humanize-monolith, ai-tell-detector, korean-style-rewriter, content-fidelity-auditor, naturalness-reviewer, taxonomist) are not defined in the provided excerpt — if their definitions (SKILL/agent files) are missing from the repository, neither fast nor strict mode can execute.
- The 2–3 minute wall-clock target for 5,000 characters is asserted but no benchmark data, config details, or model assumptions are provided, making the performance claim unverifiable.
- The trigger list includes 'AI detector bypass 한글' — a dual-use capability that could facilitate academic or editorial deception. The skill has no responsible-use note clarifying that input should be original or properly licensed, nor a reference to applicable policies.
- Quality score needs review
- Stars/forks activity: 128 stars, 22 forks; issue activity unavailable in current metadata
方法
本报告综合公开元数据、AI 审查输出、仓库活跃度、安装就绪度、OpenAgentSkill 事件、质量评分、信任检查和 Agent 安全门槛;它不是完整的源代码安全审计。
对比相近选项