script-analysis-review-skill

script-analysis-review-skill is a skill for Claude Code, Codex from Supreme-Ultimate/novel-to-script-team. It costs 53 tokens per session (2,201 once invoked), scanned A, original, MIT.

A self-review process for a director's script analysis, including the explanation of each story point, character list, and scene list. It checks the analysis against the original script and imagines how it would work on screen.

In plain words
What is it for?
Use it to check director analysis files, score story points, and produce a pass or a problem list with suggested corrections.
Why use it?
It catches omitted lines, actions, scene changes, unclear staging, and weak descriptions before production. This makes the intended performance and visuals easier for a production team to understand.

Skill for Claude CodeCodex

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

Good fit Use it to check director analysis files, score story points, and produce a pass or a problem list with suggested corrections.

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Install with agentmods
npx agentmods add skills/supreme-ultimate/novel-to-script-team/script-analysis-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 script-analysis-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.

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README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/script-analysis-review-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/script-analysis-review-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,201 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 $0.00053 $0.02201
Opus 5 $0.00026 $0.01100
Sonnet 5 $0.00011 $0.00440
Haiku 4.5 $0.00005 $0.00220

Measured 9d ago against content hash f4ed47cc7704, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

script-analysis-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 9d 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/script-analysis-review-skill/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

导演分析审核技能

必读

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

技能说明

审核导演在阶段一的分析产出,包括导演讲戏本、人物清单和场景清单。这是导演的自审环节,要求导演以批判性视角审视自己的产出,通过逐行比对原始剧本、脑内预演画面效果、逐项评分的方式,确保讲戏质量真正达标,而非仅确认格式完整。

审核对象

outputs/<集数>/01-director-analysis.md

审核流程

第一步:建立整体理解

  • 读取原始剧本(script/<集数>-xxx.md
  • 读取待审核的导演分析产出
  • 明确审核立场:你的任务是找出问题,而非确认通过

第二步:逐行比对

  • 逐行读原始剧本,逐个读讲戏本中的剧情点
  • 找出剧本中有但讲戏本中被弱化、遗漏或表达偏离的地方
  • 记录所有偏差,无论大小

第三步:脑内预演

  • 对每个剧情点,想象一个导演拿着这段讲戏去指导拍摄,画面会是什么样?
  • 判断:讲戏中的描述是否足够具体,让拍摄团队不需要再问"你到底要什么效果"?
  • 判断:讲戏描述拍出来的画面,是否准确传达了原始剧本的情绪和意图?

第四步:逐项评分

按照下方验收清单,对每个剧情点评分(1-10),并对人物清单、场景清单整体评分

第五步:输出结果

  • 计算所有剧情点的平均分
  • 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

剧情拆解(整体评估,不单独评分)

  • □ 逐行比对:原始剧本中的每一个场景转换、每一句台词、每一个动作指示,是否都有对应的剧情点覆盖?列出遗漏项。
  • □ 叙事完整性:每个剧情点是否是一个完整的叙事段落?是否有段落被不必要地拆散(如蒙太奇序列被拆成多个独立剧情点)?
  • □ 合并检查:服务于同一叙事目的的相邻段落是否应合并?指出具体是哪些。
  • □ 拆分检查:是否有段落包含两个独立的叙事目的,应拆分?指出具体是哪个。
  • □ 时长合理性:每个段落的内容密度与建议时长(4-15s)是否匹配?

导演讲戏质量(每个剧情点单独评分 1-10)

评分维度

  • □ 画面感(脑内预演):闭上眼读这段讲戏,你脑中能浮现出清晰、连贯的画面吗?如果有模糊的地方,具体是哪句话不够清晰?
  • □ 动作链完整性:人物从 A 状态到 B 状态的物理动作是否有完整的过渡?是否存在"跳跃"——上一秒在做 X,下一秒突然在做 Y,中间缺少衔接?
  • □ 节拍密度:每个连续镜头内的节拍密度是否合理(1 拍 ≈ 2.5 秒)?多镜头段落的节拍是否合理分配在各镜头中?
  • □ 头尾安全区:Seedance 生成的前 0.5s 和后 0.5s 是否避开了关键内容?
  • □ 镜头可执行性:单镜头段落——镜头运动是否能连续实现?多镜头段落——每组镜头各自是否可执行,切换方式是否清晰?
  • □ 光影具体性:光线描述是否具体到方向、色温、强度?"光线柔和"不够具体,"灰蓝色的清晨微光从左侧单窗斜射入室内"才够具体。
  • □ 情绪传达:这段讲戏是否准确传达了原始剧本中该场景的核心情绪?如果有偏差,指出原始剧本的情绪是什么,讲戏传达的情绪变成了什么。
  • □ 衔接自然:与前一个和后一个剧情点之间,画面空间、时间、情绪是否能自然过渡?如果不能,指出断裂点。

评分标准

  • 9-10:讲戏精准,脑内预演画面清晰完整,无需修改
  • 7-8:基本到位,但有 1-2 处可以更具体或更准确的地方
  • 5-6:有明显的模糊、跳跃或偏离,需要修改
  • 1-4:讲戏严重不足,无法指导拍摄

人物清单(整体评分 1-10)

  • □ 筛选合理性:人物清单是否只包含需要参考图的角色?检查以下两点:
    • 应列入的角色是否遗漏:本集出现 2+ 个剧情点的人物、预计后续集数复现的人物,是否都在清单中?
    • 应排除的角色是否误入:本集只出现 1 次且不会再出场的群演/一次性配角(如路人、围观群众),是否被错误地列入了清单?
  • □ 群演描述充分性:不在清单中的群演/一次性配角,在讲戏本的导演阐述中是否有足够具体的外观描述?分镜师能否据此直接在提示词中用文字描写?(如"尖脸眯缝眼的白袍学员"够具体,"一个路人"不够具体)
  • □ 外观可设计性:对清单中每个人物的外观关键词,判断服化道设计师是否能据此画出一个明确的形象?哪些人物的描述过于模糊?
  • □ 一致性:人物清单中的外观描述与讲戏本中对同一人物的描述是否矛盾?

Read the full file on GitHub · 140 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. 9d ago First seen · 140 lines · 53 tokens per session scan A f4ed47cc7704

Subscribe to this mod's changes

script-analysis-review-skill is a skill published in the GitHub repository Supreme-Ultimate/novel-to-script-team (163 stars, last pushed 4mo ago), licensed MIT. It adds 53 tokens to every session and 2,201 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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