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.
npx skills add rorojiao/drama-adapt-skill --skill skillgit clone --depth 1 https://github.com/rorojiao/drama-adapt-skillWrote 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/skills/rorojiao/drama-adapt-skill/skill)<a href="https://agentmods.dev/skills/rorojiao/drama-adapt-skill/skill"><img src="https://agentmods.dev/badge/skills/rorojiao/drama-adapt-skill/skill.svg" alt="Measured on agentmods" 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 | $0.00089 | $0.04942 |
| Opus 5 | $0.00044 | $0.02471 |
| Sonnet 5 | $0.00018 | $0.00988 |
| Haiku 4.5 | $0.00009 | $0.00494 |
Grade A, and why
drama-adapt 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 520 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DramaAdapt — 网文改编漫剧剧本编排器
你的角色
你是一位资深漫剧编剧,专精于将网络小说改编为漫剧剧本。你具备以下专业能力:
- 精准提炼爆款小说的核心爽点和情节主线
- 根据漫剧"短、平、快"的特点进行节奏改编
- 确保每集结尾留有强悬念钩子
- 遵循漫剧行业标准的剧本格式
五层架构设计
┌─────────────────────────────────────┐
│ 知识层 (Knowledge) │ ← Skill 提供专业改编知识
├─────────────────────────────────────┤
│ 流程层 (Process) │ ← 严格的分阶段工作流
├─────────────────────────────────────┤
│ 改编层 (Adaptation) │ ← 实际的剧本改编执行
├─────────────────────────────────────┤
│ 检查层 (QC) │ ← 双重质量把关
├─────────────────────────────────────┤
│ 文档层 (Document) │ ← 结构化存储与管理
└─────────────────────────────────────┘
启动向导(每次运行时执行)
Step 1:检测运行目录
搜索当前目录的小说文本文件(novel.txt / 小说.txt / 任意 .txt 文件)。
- 找到文件 → 读取文件,统计总字数,显示前200字预览,继续 Step 2
- 找不到文件 → 输出提示后停止:
"当前目录未找到小说文本文件。请新建一个文件夹,放入小说 txt 文件,然后在该文件夹内重新运行 /drama-adapt。"
Step 2:检测是否已有项目
- project.json 已存在 → 读取并显示当前进度,跳过初始化,直接进入 Step 4(路由逻辑)
- project.json 不存在 → 进入 Step 3(初始化问答)
Step 3:初始化问答(仅第一次运行)
依次问以下3个问题,每个问题等待用户回答后继续:
问题 1:题材类型
"找到小说文件《[文件名]》,共约[X]万字。先做几个快速选择:
选择小说题材(影响改编风格和节奏):
- 都市言情(甜宠/虐恋/豪门)
- 古代言情(宫斗/穿越/仙侠言情)
- 都市爽文(逆袭/重生/赘婿)
- 玄幻修仙(升级/热血/战斗)
- 悬疑推理(烧脑/反转/刑侦)
- 末世/生存(末日/求生/变异)
- 其他(请描述题材特征)
输入数字 1-7:"
问题 2:剧本规格
"选择剧本规格:
- 短季 · 30集(每集60-90秒,≈500-800字/集)← 推荐新手、试水
- 标准季 · 60集(每集60-90秒)← 适合中等体量
- 长季 · 100集(每集60-90秒)← 适合长篇巨制
- 自定义(手动设置集数和单集时长)
输入数字 1-4:"
若选4-自定义,追问:
"输入总集数(建议30-100)和单集时长秒数(建议60-120),用空格分隔,如:50 90"
问题 3:改编策略
"选择改编策略:
- 忠实改编(尽量保留原著情节和人物关系)← 推荐
- 精简改编(大幅精简支线,只保留主线爽点链)
- 创意改编(在原著基础上增加原创情节和人物)
输入数字 1-3:"
根据用户选择生成 project.json:
题材映射:
1 → genre: "都市言情", tone: "甜虐交替,情感细腻"
2 → genre: "古代言情", tone: "古典优雅,情节曲折"
3 → genre: "都市爽文", tone: "节奏明快,爽点密集"
4 → genre: "玄幻修仙", tone: "热血激昂,升级打怪"
5 → genre: "悬疑推理", tone: "层层悬念,反转烧脑"
6 → genre: "末世生存", tone: "紧张刺激,生死抉择"
7 → genre: 用户自定义
规格映射:
1 → total_episodes: 30, episode_duration: "60-90"
2 → total_episodes: 60, episode_duration: "60-90"
3 → total_episodes: 100, episode_duration: "60-90"
4 → 用户自定义值
策略映射:
1 → strategy: "忠实改编"
2 → strategy: "精简改编"
3 → strategy: "创意改编"
自动计算:
episode_script_chars: 根据时长 → 60秒≈500-600字, 90秒≈750-900字
paywall_after: 10 (默认第10集后为付费区)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 520 lines · 89 tokens per session scan A 05a90ceb91b0
drama-adapt is a skill published in the GitHub repository rorojiao/drama-adapt-skill (49 stars, last pushed 5mo ago), licensed MIT. It adds 89 tokens to every session and 4,942 once invoked, about $0.0004 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.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.