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 62656456/ai-film-skills --skill wuxia-designgit clone --depth 1 https://github.com/62656456/ai-film-skillsWrote 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/62656456/ai-film-skills/wuxia-design)<a href="https://agentmods.dev/skills/62656456/ai-film-skills/wuxia-design"><img src="https://agentmods.dev/badge/skills/62656456/ai-film-skills/wuxia-design/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.
<a href="https://agentmods.dev/skills/62656456/ai-film-skills/wuxia-design"><img src="https://agentmods.dev/badge/skills/62656456/ai-film-skills/wuxia-design.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00065 | $0.03089 |
| Opus 5 | $0.00032 | $0.01545 |
| Sonnet 5 | $0.00013 | $0.00618 |
| Haiku 4.5 | $0.00006 | $0.00309 |
Grade A, and why
wuxia-design 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 4d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
武侠类型视觉设计预设
独立执行细则：
references/COMMON-12-SECTION-PROTOCOL.md；色值来源：references/SOURCE-LEDGER.md。
0. 加载规则与映射表
确认当前任务需要此类型视觉参数 → 先执行本包画面关系判断 → 读第2–4节最小参数包 → 分镜/视频任务按需读第1、5–7、11节 → 挂接资产合同 → 按媒介使用10段式对应字段 → 第8节质检与第9节按成像方式选择负向 → 输出。映射：1→①④，2→⑤，3→②，4→⑦，5→③，6→⑥，7→①–⑩，8–9→质检/⑩，10→平台接口，11→⑧⑨。
设计、改写或诊断画面/提示词时，先读本包 电影画面关系判断，锁定画面命题、注意力和成像方式，再选预设；编号、来源或字段查询不必加载。色表、焦段、光比、饱和度和时间线均为可选起点，不覆盖用户锁定，也不代表原图实测参数。
1. 镜头语言预设 → ①④
| 任务 | 景别/焦段 | 构图 | 运动 |
|---|---|---|---|
| 关系/对话 | 可从MCU/CU、50–85mm起步，按关系与空间调整 | 平视、过肩或其他有目的的视点；轴线可追溯 | 按注意力和关系变化选择固定、单项或复合运镜 |
| 空间建立 | 可从EWS/WS、24–35mm起步，按空间信息调整 | 有用的尺度参照、纵深与遮挡 | 按揭示顺序选择固定、单项或复合运镜 |
| 信息变化 | 可从CU、65–100mm起步，按信息载体调整 | 主次注意力明确、遮挡可控 | 按信息出现时机选择运动与切点，不预定速度或方向 |
IF 对话 THEN 按人物关系、注意力和空间变化决定固定或运动；推、拉、绕行、变焦及复合运动须有明确目的与可执行路径；IF 建立 竹林、客栈、大漠、雨巷、宫殿、山门 THEN 先给尺度和人物占比；IF 动作升级 THEN 比较连续调度与切镜能否清楚表达因果，再决定节拍；复杂运动写清起止、路径、速度、触发与衔接，不预设必须内切。禁止无依据的轴线漂移、无动机机位和错误高度关系。
2. 色彩八要素预设 → ⑤
预设依据与证据边界见本包 references/SOURCE-LEDGER.md；下表是武侠片色彩关系的可选设计起点，并非经过逐项实测的类型定律。
| 主/辅/强调色 | 饱和度 | 光源 | 光比 | 区域分配 |
|---|---|---|---|---|
| 赤 #DC143C、蓝 #1E90FF、白 #F5F5DC、绿 #2E8B57、黑 #0A0A0A；水墨灰、竹青、暖金 #D4A017 | 浓烈路由70–90%；水墨路由30–40% | 自然漫射 5000K 或烛光；丝绸和水面必须受光 | 按场景显式标 3:1/6:1/10:1 等 | 前景材质、中景主体、背景纵深分别指定 |
已有色值可从本包来源账本选择；用户锁定或新方案需要其他颜色时可另行设计，并标明属于设计选择。强调色按当前注意力与情绪关系分配；光色须有可解释的光源位置、遮挡和反射路径，光源可以在画外。
3. 场景色彩速查 + 空间结构模板 → ②
场景范围：竹林、客栈、大漠、雨巷、宫殿、山门。
左侧：[固定建筑/遮挡/主光来源]；中部：[人物关系/可通行区域]；右侧：[出口、纵深或危险信息]。
前景：[遮挡/材质]；中景：[Cxx、Sxx、Pxx]；背景：[尺度锚点、雾或实用灯]。
人物锁定左右位置、身高、朝向和距离；Pxx 记录持有人、可见面、朝向与最终状态。
3.1 场景参数表
| 场景 | 主色 | 辅色 | 强调色 | 光源 | 色温 | 饱和 | 光比 | 情绪 |
|---|---|---|---|---|---|---|---|---|
| 竹林 | 竹青 | 水墨灰 | 暖金 #D4A017 | 逆光穿竹 | 5000K | 35% | 6:1 | 诗意 |
| 客栈 | 暖琥珀 | 深褐 | 赤 #DC143C | 油灯/烛台 | 2700K | 45% | 6:1 | 试探 |
| 大漠 | 土黄 | 冷天蓝 | 赤 #DC143C | 太阳直射 | 5500K | 45% | 5:1 | 苍凉 |
| 雨巷 | 冷灰 | 墨黑 | 灯笼红 | 灯笼/湿反射 | 3200K | 30% | 8:1 | 宿命 |
| 宫殿 | 分段纯色 | 墨黑 | 金 #D4A017 | 天窗/烛光 | 3200K | 70% | 10:1 | 权力 |
| 山门 | 白 #F5F5DC | 竹青 | 黑 #0A0A0A | 自然漫射 | 5000K | 30% | 4:1 | 清寂 |
What ships with it
5 files 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.
- 4d ago Changed · +2 lines 682bf2fd71fd
- 7d ago Changed 51642350fbd5
- 12d ago First seen · 140 lines · 65 tokens per session scan A ff3e5158911f
wuxia-design is a skill published in the GitHub repository 62656456/ai-film-skills (17 stars, last pushed yesterday), licensed Apache-2.0. It adds 65 tokens to every session and 3,089 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 2026-08-31.
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