Skill-Audit-Bericht
humanize-korean Audit-Bericht.
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 Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub-Akzeptanz
Info62
128 GitHub-Stars
Star-/Fork-Aktivität
Warnung57
128 Stars und 22 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden100
Heute gepusht
Lizenzklarheit
Bestanden86
MIT
README/SKILL.md-Vollständigkeit
Bestanden86
Metadaten enthalten ausreichend Nutzungs- und Workflow-Kontext
Abhängigkeits-/Laufzeitrisiko
Info72
Befehlsausführungsfläche
Installationsverfügbarkeit
Bestanden92
npx skills add bam-bam-2/solo-skills --skill humanize-korean
Sicherheit des Installationsbefehls
Bestanden92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
Info76
Shell- oder Befehlsausführung
Repository-Nachweis
Bestanden86
https://github.com/bam-bam-2/solo-skills/tree/main/skills/humanize-korean
Prüfstatus
Info66
KI-Prüfdaten verfügbar
Agent-validierte Ergebnisse
Info54
Noch keine Agent-Ergebnisdaten
Prüfungen
Installations- und Adoptionsprüfung
Installationspfad
92
npx skills add bam-bam-2/solo-skills --skill humanize-korean
Repository
88
https://github.com/bam-bam-2/solo-skills/tree/main/skills/humanize-korean
Lizenz
86
MIT
Wartung
100
Heute gepusht
KI-Prüfung
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-Vollständigkeit
86
Usable description available
Abhängigkeitsrisiko
72
Befehlsausführungsfläche
Sicherheit des Installationsbefehls
92
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsumfang
76
Shell- oder Befehlsausführung
Star-/Fork-Aktivität
57
128 Stars und 22 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Akzeptanz
68
128 GitHub-Stars
Warnungen
- 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
Methode
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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