compliance-review-skill

compliance-review-skill is a skill for Claude Code, Codex from Supreme-Ultimate/novel-to-script-team. It costs 29 tokens per session (1,502 once invoked), scanned A, original, MIT.

A content-review skill that checks a story, its dialogue, and its visual descriptions for platform risks and prohibited material. It also assesses whether the story’s values are acceptable.

In plain words
What is it for?
It is used to review subject matter, dialogue, characters, scenes, symbols, and overall values, then classify issues and suggest whether the material passes or needs changes.
Why use it?
It helps find sensitive themes, harmful language, graphic violence, sexual content, illegal activity, and other issues before publication or further production.

Skill for Claude CodeCodex

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

Good fit It is used to review subject matter, dialogue, characters, scenes, symbols, and overall values, then classify issues and suggest whether the material passes or needs changes.

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

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README.md
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Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,502 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 $0.00029 $0.01502
Opus 5 $0.00015 $0.00751
Sonnet 5 $0.00006 $0.00300
Haiku 4.5 $0.00003 $0.00150

Measured 12d ago against content hash 08899b46714c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

compliance-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/compliance-review-skill/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

合规审核技能

必读

  1. ../../references/00-first-principles.md
  2. ../../references/05-compliance-boundaries.md

审核维度

1. 题材合规

检查剧本题材是否触碰红线:

  • ❌ 政治敏感(领导人、政治事件、体制批评)
  • ❌ 历史虚无(篡改历史、丑化英雄)
  • ❌ 宗教迷信(封建迷信、宗教冲突)
  • ❌ 暴力血腥(详细描写暴力、血腥场面)
  • ❌ 色情低俗(性暗示、低俗内容)
  • ❌ 违法犯罪(美化犯罪、教唆违法)

2. 台词合规

检查对话和旁白是否包含敏感内容:

  • ❌ 脏话粗口(国骂、地域歧视、人身攻击)
  • ❌ 敏感词汇(政治敏感词、违禁词)
  • ❌ 价值观问题(拜金主义、三观不正)
  • ❌ 歧视性语言(性别歧视、种族歧视、残疾歧视)

3. 画面合规

检查场景描述和视觉元素是否合规:

  • ❌ 敏感符号(纳粹标志、宗教符号)
  • ❌ 暴力画面(血腥、残忍、虐待)
  • ❌ 低俗画面(裸露、性暗示)
  • ❌ 违法画面(吸毒、赌博、犯罪)

4. 价值导向

检查剧本传递的价值观是否正向:

  • ✅ 正能量(积极向上、励志)
  • ✅ 正确价值观(公平正义、诚信友善)
  • ❌ 负面价值观(拜金、仇恨、报复)
  • ❌ 三观不正(婚外情、小三上位、道德败坏)

执行流程

Step 1: 题材审核

阅读剧本大纲和分集规划,检查:

  • 故事背景是否涉及敏感题材
  • 主要情节是否触碰红线
  • 人物设定是否存在问题

Step 2: 台词审核

逐场景检查对话和旁白:

  • 使用敏感词检测(参考references/05-compliance-boundaries.md中的敏感词表)
  • 检查价值观导向
  • 识别歧视性语言

Step 3: 画面审核

检查场景描述和视觉元素:

  • 场景设定是否合规
  • 人物动作是否合规
  • 道具和背景是否包含敏感元素

Step 4: 整体评估

综合评估剧本的合规性:

  • 是否存在优先级1问题(必须修改)
  • 是否存在优先级2问题(建议修改)
  • 是否存在优先级3问题(可选优化)

输出格式

PASS示例

## 合规审核结果:✅ PASS

### 题材合规:✅ PASS
- 现代都市复仇题材,无敏感内容

### 台词合规:✅ PASS
- 对话健康,无脏话粗口
- 无敏感词汇

### 画面合规:✅ PASS
- 场景描述合规,无暴力血腥
- 无低俗画面

### 价值导向:✅ PASS
- 传递正能量,主角通过努力实现逆袭
- 价值观正确

FAIL示例

## 合规审核结果:❌ FAIL

### 题材合规:✅ PASS

### 台词合规:❌ FAIL
**问题1(优先级1)**:
- 位置:第3场景,林雪台词
- 问题:使用了脏话"你个贱人"
- 修改建议:改为"你这个女人"或"你"

**问题2(优先级2)**:
- 位置:第5场景,旁白
- 问题:价值观问题,"有钱就是王道"
- 修改建议:改为"实力才是硬道理"

### 画面合规:❌ FAIL
**问题3(优先级1)**:
- 位置:第4场景
- 问题:描写了详细的暴力场面"鲜血喷溅"
- 修改建议:改为"被推倒在地",删除血腥描写

### 价值导向:⚠️ 需注意
- 主角复仇手段过于极端,建议增加法律途径的尝试
- 避免传递"以暴制暴"的负面价值观

### 修改要求
1. 必须修改所有优先级1问题(3个)
2. 建议修改优先级2问题(1个)
3. 修改后重新提交审核

判断标准

PASS标准

  • 无优先级1问题(红线问题)
  • 优先级2问题 ≤ 2个(且已有替代方案)
  • 整体价值导向正确

FAIL标准

  • 存在任何优先级1问题
  • 优先级2问题 > 2个
  • 整体价值导向有问题

常见问题和替代方案

脏话粗口替代

  • "贱人" → "这个女人"
  • "混蛋" → "你"
  • "去死" → "滚开"

暴力描写替代

  • "鲜血喷溅" → "倒在地上"
  • "刀刺入胸口" → "被刀威胁"
  • "拳打脚踢" → "推搡争执"

价值观问题替代

  • "有钱就是王道" → "实力才是硬道理"
  • "不择手段" → "全力以赴"
  • "报复" → "讨回公道"

注意事项

  1. 严格执行:合规审核是底线,任何红线问题必须修改
  2. 提供替代方案:FAIL时必须给出具体的替代表达建议
  3. 价值导向:除了规避红线,还要确保传递正确价值观
  4. 平台差异:不同平台的合规标准可能不同,以最严格标准为准

Read the full file on GitHub · 160 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 · 160 lines · 29 tokens per session scan A 08899b46714c

Subscribe to this mod's changes

compliance-review-skill is a skill published in the GitHub repository Supreme-Ultimate/novel-to-script-team (167 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 1,502 once invoked, about $0.0001 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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