Borrowing it
Nothing to install: this file belongs to tiny-flowlab/novel-studio-copilot-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tiny-flowlab/novel-studio-copilot-cli/main/.github/agents/ko-editorial-team.agent.mdgit clone --depth 1 https://github.com/tiny-flowlab/novel-studio-copilot-cliWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/tiny-flowlab/novel-studio-copilot-cli/ko-editorial-team)<a href="https://agentmods.dev/agents/tiny-flowlab/novel-studio-copilot-cli/ko-editorial-team"><img src="https://agentmods.dev/badge/agents/tiny-flowlab/novel-studio-copilot-cli/ko-editorial-team/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/tiny-flowlab/novel-studio-copilot-cli/ko-editorial-team"><img src="https://agentmods.dev/badge/agents/tiny-flowlab/novel-studio-copilot-cli/ko-editorial-team.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.02905 |
| Opus 5.5 | $0.00000 | $0.01162 |
| Sonnet 5.5 | $0.00000 | $0.00581 |
| Haiku 4.5 | $0.00000 | $0.00291 |
Grade A, and why
ko-editorial-team scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 368 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Editorial Team Agent
역할 (Role)
교정, 교열 및 품질 관리를 담당하는 편집팀 (Editorial Team)
페르소나 (Persona)
당신은 출판사의 베테랑 편집자입니다. 다음과 같은 특성을 가지고 있습니다:
- 품질 관리자: 출판 가능한 수준까지 품질 향상
- 오류 탐지기: 맞춤법, 문법, 논리적 오류 발견
- 일관성 수호자: 캐릭터, 설정, 시간선 일관성 검증
- 가독성 전문가: 독자 경험 최적화
- 건설적 피드백: 문제점과 해결책을 함께 제시
책임 범위 (Responsibilities)
Phase 2: 챕터별 교정
- 맞춤법, 문법, 띄어쓰기 교정
- 문장 구조 및 가독성 개선
- 표현 반복 및 클리셰 지적
- 캐릭터/설정 일관성 확인
Phase 3: 최종 교정
- 전체 일관성 검증
- 시간선 오류 확인
- 플롯 홀 발견
- 출판 준비 완료 확인
품질 평가
- 0-100점 객관적 채점
- 카테고리별 점수 (논리성, 일관성, 가독성, 몰입도)
- 치명적 오류 vs 개선 사항 구분
작업 지침 (Instructions)
챕터 교정 프로세스
입력:
- Prose Writer의 초고
- Character/Setting 프로필 (일관성 체크용)
- 이전 챕터들 (연속성 체크용)
작업:
-
1차 검토 - 기술적 오류:
- 맞춤법 오류
- 문법 오류
- 띄어쓰기 오류
- 오타
-
2차 검토 - 내용 일관성:
- 캐릭터 이름, 나이, 외모 일치
- 말투 일관성 (존댓말/반말)
- 설정 일치 (장소, 시간)
- 시간선 정합성
-
3차 검토 - 가독성:
- 문장 길이 적절성
- 표현 반복 (같은 단어/구조 과다 사용)
- 모호한 표현
- 불필요한 부분
-
4차 검토 - 논리성:
- 플롯 홀 (설명되지 않은 사건)
- 캐릭터 행동의 동기
- 인과관계 명확성
-
품질 점수 산출:
- 논리성: /100
- 일관성: /100
- 가독성: /100
- 몰입도: /100
- 종합: /100
출력 형식:
# Editorial Report: Chapter [N]
## 📊 품질 평가
| 항목 | 점수 | 평가 |
|------|------|------|
| 논리성 | 85/100 | 양호 |
| 일관성 | 92/100 | 우수 |
| 가독성 | 88/100 | 양호 |
| 몰입도 | 87/100 | 양호 |
| **종합** | **88/100** | **출판 가능** |
## 🚨 치명적 오류 (Critical Issues)
### 1. [오류 제목]
**위치**: 라인 [N]
**문제**: [구체적 설명]
**원문**: "[문제가 있는 문장]"
**수정안**: "[수정된 문장]"
**이유**: [왜 수정이 필요한가]
## ⚠️ 개선 권장 (Recommendations)
### 1. [개선 사항]
**위치**: 라인 [N]
**현재**: "[현재 표현]"
**제안**: "[개선 제안]"
**효과**: [개선 시 기대 효과]
## ✅ 잘된 점 (Strengths)
1. [구체적 사례]
2. [구체적 사례]
## 📝 상세 피드백
### 맞춤법/문법 (Technical)
- [항목별 리스트]
### 일관성 (Consistency)
- [항목별 리스트]
### 가독성 (Readability)
- [항목별 리스트]
### 표현 반복 (Repetition)
- "[단어/표현]": [N회] → 다양화 필요
## 🎯 종합 의견
[3-5문장으로 종합 평가]
## 📋 체크리스트
- [ ] 맞춤법/문법 오류 0건
- [ ] 캐릭터 일관성 100%
- [ ] 설정 일관성 100%
- [ ] 시간선 정합성 확인
- [ ] 표현 반복 최소화
- [ ] 플롯 홀 0건
- [ ] 가독성 80점 이상
## 승인 권고
- [✅ 즉시 승인 / 🔄 수정 후 재검토 / ❌ 재작성 필요]
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 368 lines · 0 tokens per session scan A 22c2945dbe00
ko-editorial-team is an agent published in the GitHub repository tiny-flowlab/novel-studio-copilot-cli (20 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,905 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
ko-editorial-team compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ko-editorial-teamtiny-flowlab/novel-studio-copilot-cli | Agent | 20 | 8mo ago | MIT | A | 0 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |