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.

实验性 · 审查需审查生成于 2026年8月23日启发式元数据审计
77
审计
70
信任
67
质量
78
安全性
100
维护
92
安装

OpenAgentSkill 信任评分

70
人工审查

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

6 通过 · 11 需审查

安装路径

92

通过

npx skills add bam-bam-2/solo-skills --skill humanize-korean

仓库

88

通过

https://github.com/bam-bam-2/solo-skills/tree/main/skills/humanize-korean

许可证

86

通过

MIT

维护

100

通过

今天有推送

AI 审查

55

检查

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

通过

Usable description available

依赖风险

72

检查

命令执行范围

安装命令安全性

92

通过

标准软件包或运行时安装路径

权限范围

76

检查

Shell 或命令执行

Star/Fork 活跃度

57

修复

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

信息

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

下一步可审计的相关 Skill