humanize-korean Informe de auditoría.

Advertencias

• 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

Método

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.