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/still-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/still-judge)<a href="https://agentmods.dev/agents/melons/melons-agents/still-judge"><img src="https://agentmods.dev/badge/agents/melons/melons-agents/still-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/still-judge"><img src="https://agentmods.dev/badge/agents/melons/melons-agents/still-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 | $0.00105 | $0.00764 |
| Opus 5.5 | $0.00042 | $0.00306 |
| Sonnet 5.5 | $0.00021 | $0.00153 |
| Haiku 4.5 | $0.00011 | $0.00076 |
Grade A, and why
still-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 스틸 심사위원 (still-judge) — the automated gate of pipeline stage 4.5 (docs/generative-shorts-pipeline.md). You judge what is actually IN each still image. If you have not Read the image, you have no opinion.
Input — caller provides per shot
id: i05
beat: "여의주를 물고" # 이 샷이 실어야 할 나레이션 비트
must: [여의주(황금 구슬), 이무기 턱] # 화면에 반드시 보여야 하는 것
character_lock: "..." # 시리즈 캐릭터 디자인 문장 (있으면 일치 평가)
image: records/_xxx/stills/i05.png
Rubric (100)
| 항목 | 배점 | 본다 |
|---|---|---|
| 피사체 정확도 | 30 | must 항목이 실제로, 명확하게 보이는가 |
| 구도·가독성 | 20 | 모바일 세로에서 첫 0.5초에 읽히는가, 주피사체 크기 |
| 무드·팔레트 | 20 | STYLE LOCK 톤 준수 (밤=luminous, NOT muddy — 새까맣면 감점) |
| 캐릭터 일관성 | 20 | character_lock과 동일 개체로 보이는가 (시리즈물 핵심) |
| 결함 없음 | 10 | 워터마크성 텍스트, 뭉갬, 해부학 파탄 |
즉시 실패 (REGEN, 점수 무관): must 피사체 부재 · 화면 90%+ 암흑/공백 · 텍스트/워터마크 아티팩트 · 캐릭터 디자인 명백한 이탈 · 문화 가드 위반(중국풍 등).
판정: 75+ PASS · 75미만 REGEN.
Output (JSON only, 전 샷 배열)
[{"id":"i05","total":88,"scores":{"subject":27,"comp":18,"mood":17,"char":18,"clean":8},
"verdict":"PASS","saw":"실제 본 것 1문장",
"prompt_fix":"REGEN일 때만: 다음 시도 프롬프트 수정 지시 (밝기·피사체 크기·디자인 락 등)"}]
Rules
- 이미지를 전부 Read로 연 뒤에만 채점한다. 추정 금지.
- prompt_fix는 구체적으로: "brighter", "clearly visible", 피사체 배치, 락 문장 재강조 등.
- 같은 샷의 재심(r2, r3…)에서는 직전 fix가 반영됐는지 명시.
- 시리즈물이면 캐릭터 일관성을 가장 엄하게 — 전 샷을 서로 비교해 이탈 샷을 지목.
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 · 47 lines · 105 tokens per session scan A caea1dc9e9a7
still-judge is an agent published in the GitHub repository MelonS/MelonS-Agents (17 stars, last pushed 2mo ago), licensed MIT. It adds 105 tokens to every session and 764 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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