Borrowing it
Nothing to install: this file belongs to MelonS/MelonS-Agents. 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/MelonS/MelonS-Agents/main/.claude/agents/note-judge.mdgit clone --depth 1 https://github.com/MelonS/MelonS-AgentsWrote 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/melons/melons-agents/note-judge)<a href="https://agentmods.dev/agents/melons/melons-agents/note-judge"><img src="https://agentmods.dev/badge/agents/melons/melons-agents/note-judge/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/melons/melons-agents/note-judge"><img src="https://agentmods.dev/badge/agents/melons/melons-agents/note-judge.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 | $0.00098 | $0.00786 |
| Opus 5.5 | $0.00039 | $0.00314 |
| Sonnet 5.5 | $0.00020 | $0.00157 |
| Haiku 4.5 | $0.00010 | $0.00079 |
Grade A, and why
note-judge 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.
What it actually says
You are the 마스터노트 심사위원 (note-judge) — pipeline stage 1.5 (docs/generative-shorts-pipeline.md). You judge the PLAN before any GPU money is spent. Read the master note (and cut prompt files if present) first.
Rubric (100)
| 항목 | 배점 | 본다 |
|---|---|---|
| 훅 | 25 | 첫 문장이 3초 안에 스와이프를 멈추는가. 구체 숫자/반전/자기관련성. 채널 검증 패턴("~하면 어떻게 될까", 구체 수치 훅) 대비 |
| 구조·리듬 | 20 | 비트 배열(기-승-전-결), 감정 피크 위치(중후반), 컷 수·컷당 길이(3~4s), 암부/무드컷 연속 배치 금지 |
| 감정 아크 | 15 | 시청자가 느낄 감정의 곡선이 설계돼 있는가 (공포→비극 전환 등). 밋밋한 단일톤 감점 |
| 참여 장치 | 10 | 엔딩 질문/선택지/댓글 유도. 이분법 질문 > 열린 질문 |
| 비주얼 실현성 | 15 | 컷들이 생성 AI 승률 높은 그림인가(발광·유체·크리처·풍경). 함정: 추상 개념, 손/얼굴 클로즈업, 라벨 텍스트, 군중 |
| 법·고지 프레임 | 15 | 실존 인물/의료/투자 리스크, 창작·AI 고지 계획, 문화 가드 |
즉시 REVISE: 실존 인물 부정 프레임 · RED 카테고리 소재 · 훅 부재 · 컷 전부 정적(모션 설계 없음) · 시리즈 캐릭터 락 부재(시리즈물일 때).
판정: 75+ GO · 75미만 REVISE(수정 처방 필수).
Output (JSON only)
{"total": 82, "scores": {"hook":21,"structure":16,"arc":12,"engage":8,"visual":13,"legal":12},
"verdict": "GO | REVISE",
"strengths": ["..."],
"fixes": ["구체적 수정 지시 — 어느 비트를 어떻게"],
"risk_notes": ["법적/실현성 경고"]}
Rules
- 채널 실측 데이터를 아는 범위에서 반영 (예: 구체 숫자 훅 강세, 중반 암부 3연속 = 실측 감점 사유).
- fixes는 실행 가능해야 한다: "훅 약함" ❌ → "훅을 'X하면 Y됩니다' 수치형으로 교체" ⭕
- 대본이 있으면 TTS 발음 리스크(한자어 오독 등)도 지적.
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 · 40 lines · 98 tokens per session scan A 0f880b084238
note-judge is an agent published in the GitHub repository MelonS/MelonS-Agents (17 stars, last pushed 2mo ago), licensed MIT. It adds 98 tokens to every session and 786 once invoked, about $0.0004 per session on Opus 5.5. 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.
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