art-direction-review-skill

art-direction-review-skill is a skill for Claude Code, Codex from Supreme-Ultimate/novel-to-script-team. It costs 62 tokens per session (2,395 once invoked), scanned A, original, MIT.

A Chinese-language review process for checking character appearance and scene-setting prompts used to generate reference images for a screenplay.

In plain words
What is it for?
Use it to compare character and scene prompts with the director's analysis and script, imagine the likely generated images, score each item, and decide whether the set passes.
Why use it?
It catches missing, conflicting, or ambiguous visual instructions before they lead to reference images that do not match the director's intent.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to compare character and scene prompts with the director's analysis and script, imagine the likely generated images, score each item, and decide whether the set passes.

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Install with agentmods
npx agentmods add skills/supreme-ultimate/novel-to-script-team/art-direction-review-skill
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Supreme-Ultimate/novel-to-script-team --skill art-direction-review-skill
Clone the repo
git clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-team

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for art-direction-review-skill

README.md
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Your own site
<a href="https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/art-direction-review-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/art-direction-review-skill/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.

agentmods 80×15 button for art-direction-review-skill

Your own site · 80×15
<a href="https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/art-direction-review-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/art-direction-review-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,395 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.02395
Opus 5 $0.00031 $0.01197
Sonnet 5 $0.00012 $0.00479
Haiku 4.5 $0.00006 $0.00239

Measured 12d ago against content hash 20ddca3d9817, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

art-direction-review-skill 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 12d 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.

skills/art-direction-review-skill/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

服化道设计审核技能

必读

  1. ../../references/00-first-principles.md
  2. ../../references/04-review-gates.md
  3. ../../references/05-compliance-boundaries.md

技能说明

审核服化道在阶段二的设计产出,包括人物设定提示词和场景环境提示词。导演需要以批判性视角审视服化道的产出,通过逐项比对导演清单、脑内预演文生图效果、逐项评分的方式,确保提示词质量真正达标,能让用户通过文生图工具生成准确的参考图。

审核对象

outputs/{剧本名}/assets/character-prompts.mdoutputs/{剧本名}/assets/scene-prompts.md 中本集新增内容

审核流程

第一步:建立整体理解

  • 读取导演分析产出(01-director-analysis.md)中的人物清单和场景清单
  • 读取待审核的服化道设计产出
  • 如有已有素材,读取了解上下文
  • 明确审核立场:你的任务是找出问题,而非确认通过

第二步:逐项比对

  • 对每个人物:逐个对照导演人物清单中的外观关键词,找出服化道提示词中遗漏、偏离或矛盾的地方
  • 对每个场景:逐个对照导演场景清单中的光线/色调/氛围描述,找出服化道提示词中遗漏、偏离或矛盾的地方
  • 同时检查讲戏本中对同一人物/场景的具体描述,确保服化道提示词没有与讲戏本冲突

第三步:脑内预演

  • 对每个人物提示词:想象把这段文字丢进文生图工具(如即梦、Nano Banana Pro),生成出来的图会是什么样?
    • 生成的人物形象是否与导演心中的角色一致?
    • 是否有描述歧义可能导致生成结果偏离预期(如"清秀"可能被理解为女性化)?
    • 参考图的布局(特写+三视图)是否能清晰展示角色全貌?
  • 对每个场景提示词:想象把这段文字丢进文生图工具,生成出来的场景图是什么样?
    • 生成的场景氛围是否与导演讲戏本中该场景的情绪匹配?
    • 是否有关键视觉元素可能在生成中丢失(如"牌匾上的文字"在AI生成中经常出错)?
    • 空间布局是否清晰,不会生成混乱的构图?

第四步:逐项评分

按照下方验收清单,对每个人物和每个场景单独评分(1-10)

第五步:输出结果

  • 计算所有人物评分和场景评分的总平均分
  • 平均分 ≥ 8 且无单项低于 6 → PASS
  • 平均分 < 8 或任一单项低于 6 → FAIL + 问题清单

验收清单

人物造型提示词(每个人物单独评分 1-10)

评分维度

  • □ 与导演一致性:逐个对照导演人物清单中的外观关键词,提示词是否完整覆盖?有无遗漏或偏离?具体列出不一致的地方。
  • □ 辨识度(脑内预演):想象生成出来的图,这个角色能否一眼与其他角色区分开?如果是配角/路人,是否有足够的视觉差异化?
  • □ 描述精确性(脑内预演):提示词中是否有歧义表达,可能导致文生图工具生成偏离预期的结果?具体指出哪句话可能有歧义。
  • □ 细节完整性:面部、发型、体型、服装(款式/颜色/材质)、配饰、鞋子是否都有具体描述?缺哪个列出来。
  • □ 风格匹配:提示词是否明确匹配项目的视觉风格(如 3D CG)?生成结果是否会偏向其他风格?
  • □ 格式可执行:布局指令(特写+三视图+白色背景)是否清晰?能否直接复制到文生图工具使用?

评分标准

  • 9-10:提示词精准,脑内预演生成效果完全符合导演预期,无需修改
  • 7-8:基本到位,但有 1-2 处可能导致生成偏差的地方
  • 5-6:有明显的遗漏、偏离或歧义,需要修改
  • 1-4:提示词严重不足或与导演意图冲突

场景环境提示词——宫格整体评分(1-10)

说明:场景提示词采用宫格格式(≤9场景用3×3,10-12用3×4,13-16用4×4),每格一个场景。审核时先逐格检查,再整体评分。

逐格检查维度(每个格子/场景逐一检查)

  • □ 与导演一致性:该格场景是否对应导演场景清单中的某个场景?光线/色调/氛围描述是否完整覆盖?有无遗漏或偏离?
  • □ 氛围传达(脑内预演):想象生成出来的该格画面,氛围是否与导演讲戏本中该场景的情绪匹配?
  • □ 空间清晰度(脑内预演):该格描述的空间布局是否清晰?在宫格的小尺寸内是否能看清主要元素?
  • □ 关键元素完整:导演讲戏本中提到的重要视觉元素是否在该格中有体现?

宫格整体检查维度

  • □ 场景覆盖完整性:导演场景清单中的所有场景是否都在宫格中有对应格子?有无遗漏?
  • □ 宫格规格正确性:场景数量与宫格规格是否匹配(≤9用3×3,10-12用3×4,13-16用4×4)?空格处理是否正确?
  • □ 格间风格一致性(脑内预演):想象生成出来的整张宫格图,所有格子的视觉风格是否统一?色彩体系是否协调?会不会出现某一格风格突兀?
  • □ 风格匹配:整体是否明确匹配项目的视觉风格?
  • □ 格式可执行:整段提示词能否直接复制到文生图工具生成一张完整的宫格图?

Read the full file on GitHub · 156 lines

Changes

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.

  1. 12d ago First seen · 156 lines · 62 tokens per session scan A 20ddca3d9817

Subscribe to this mod's changes

art-direction-review-skill is a skill published in the GitHub repository Supreme-Ultimate/novel-to-script-team (165 stars, last pushed 4mo ago), licensed MIT. It adds 62 tokens to every session and 2,395 once invoked, about $0.0003 per session on Opus 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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