hit-script-retrieval-skill

hit-script-retrieval-skill is a skill for Claude Code, Codex from Supreme-Ultimate/novel-to-script-team. It costs 40 tokens per session (3,651 once invoked), scanned A, original, MIT.

A search tool for finding relevant hit short-drama scripts from a collection of 117 scripts. It combines meaning-based and exact-word searches.

In plain words
What is it for?
Use it to find up to five reference scripts for script generation. Each result includes its filename, similarity score, preview, and file path.
Why use it?
It reduces the time spent looking for useful examples before writing a script. The results help writers compare stories with similar genres, emotions, plots, characters, or settings.

Skill for Claude CodeCodex

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

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is engine = HybridSearchEngine("../../knowledge/hit-scripts-md").

Good fit Use it to find up to five reference scripts for script generation. Each result includes its filename, similarity score, preview, and file path.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Supreme-Ultimate/novel-to-script-team
agentmods
npx agentmods add skills/supreme-ultimate/novel-to-script-team/hit-script-retrieval-skill

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 hit-script-retrieval-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/hit-script-retrieval-skill/github.svg)](https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/hit-script-retrieval-skill)
Your own site
<a href="https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/hit-script-retrieval-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/hit-script-retrieval-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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/supreme-ultimate/novel-to-script-team/hit-script-retrieval-skill"><img src="https://agentmods.dev/badge/skills/supreme-ultimate/novel-to-script-team/hit-script-retrieval-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,651 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 $0.00040 $0.03651
Opus 5 $0.00020 $0.01826
Sonnet 5 $0.00008 $0.00730
Haiku 4.5 $0.00004 $0.00365

Measured 10d ago against content hash d42ea411e1d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

hit-script-retrieval-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 10d 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/hit-script-retrieval-skill/SKILL.md · 402 lines

How it starts

The opening of the file, as written. The whole thing — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.

爆款剧本检索技能

必读

  1. ../../references/00-first-principles.md — 第一性原则(可拍性、留存性、一致性)
  2. ../../references/03-script-writing-standard.md — 剧本写作标准(对话比、视觉标记、网文感)
  3. ../../references/12-genre-specific-techniques.md — 类型化技巧(男频/女频特征)

功能

从117部爆款短剧剧本中检索最相关的剧本,为剧本生成提供参考。

检索方法

使用混合搜索(Chroma语义搜索 + TF-IDF关键词搜索):

  • 语义搜索权重:60%(理解深层含义)
  • 关键词搜索权重:40%(精确匹配)

使用场景

1. 剧本生成前检索

在生成剧本前,根据以下信息检索相关剧本:

  • 剧本类型(复仇/逆袭/穿越/重生等)
  • 情绪基调(愤怒/悲伤/爽感/紧张等)
  • 主要情节(打脸/揭秘/对抗/和解等)
  • 人物关系(主角vs反派/主角vs配角等)
  • 场景类型(豪门/古代/现代/职场等)

示例查询

"复仇女主霸总豪门打脸"
"穿越古代逆袭当皇后"
"重生复仇虐恋"

2. 检索结果使用

检索返回Top 5最相关的剧本,包含:

  • 剧本文件名
  • 相似度得分
  • 内容预览(前200字符)
  • 完整文件路径

注入到context

参考以下爆款剧本的风格和节奏:

【参考剧本1】《封总的复仇娇妻》
- 相似度:0.892
- 特点:复仇女主、霸总、豪门恩怨、打脸爽剧
- 节奏:快节奏、高冲突密度、强情绪冲击
- 对话风格:短句、高对话比、视觉标记丰富

【参考剧本2】...

执行步骤

Step 1: 构建检索查询

从当前剧本需求中提取关键信息:

# 示例:从分集规划中提取
query_parts = []
if "类型" in episode_plan:
    query_parts.append(episode_plan["类型"])
if "情绪" in episode_plan:
    query_parts.append(episode_plan["情绪"])
if "主要情节" in episode_plan:
    query_parts.append(episode_plan["主要情节"])

query = " ".join(query_parts)
# 结果:query = "复仇 愤怒 打脸揭秘"

Step 2: 执行检索

使用混合搜索引擎:

from hybrid_search import HybridSearchEngine

# 初始化(只需一次)
engine = HybridSearchEngine("../../knowledge/hit-scripts-md")

# 检索Top 5
results = engine.hybrid_search(
    query=query,
    n_results=5,
    semantic_weight=0.6,
    keyword_weight=0.4
)

Step 3: 读取完整内容

reference_scripts = []
for result in results:
    with open(result['path'], 'r', encoding='utf-8') as f:
        content = f.read()
        reference_scripts.append({
            'filename': result['filename'],
            'score': result['score'],
            'content': content[:5000]  # 取前5000字符
        })

Step 4: 注入到生成提示词

你是一名短剧编剧,现在需要创作第N集剧本。

【参考爆款剧本】
以下是5个最相关的爆款剧本,请参考它们的:
- 节奏:场景数、冲突密度、时长分布
- 对话:句长、对话比、视觉标记
- 情绪:情绪强度、情感极性摆动
- 框架:开局-发展-高潮-反转-结局

1. 《封总的复仇娇妻》(相似度:0.892)
[内容节选...]

2. 《...》(相似度:0.856)
[内容节选...]

...

【当前任务】
根据以上参考,创作第N集剧本...

Read the full file on GitHub · 402 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. 10d ago First seen · 402 lines · 40 tokens per session scan A d42ea411e1d0

Subscribe to this mod's changes

hit-script-retrieval-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 40 tokens to every session and 3,651 once invoked, about $0.0002 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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