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 chenyuxiaojin/video-agent-skills --skill video-agent-storyboardergit clone --depth 1 https://github.com/chenyuxiaojin/video-agent-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/chenyuxiaojin/video-agent-skills/video-agent-storyboarder)<a href="https://agentmods.dev/skills/chenyuxiaojin/video-agent-skills/video-agent-storyboarder"><img src="https://agentmods.dev/badge/skills/chenyuxiaojin/video-agent-skills/video-agent-storyboarder/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/chenyuxiaojin/video-agent-skills/video-agent-storyboarder"><img src="https://agentmods.dev/badge/skills/chenyuxiaojin/video-agent-skills/video-agent-storyboarder.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 | $0.00116 | $0.01825 |
| Opus 5 | $0.00058 | $0.00912 |
| Sonnet 5 | $0.00023 | $0.00365 |
| Haiku 4.5 | $0.00012 | $0.00183 |
Grade A, and why
video-agent-storyboarder scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- 标准库：json, pathlib, argparse, urllib How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
video-agent-storyboarder（分镜师）
职责边界
分镜师是文字世界和画面世界的桥梁。通过 Gemini Flash API 自动生成分镜：
- ✅ 调用
generate_storyboard.py脚本自动拆稿和设计画面 - ✅ 审核生成的分镜质量（格式、覆盖度、节奏）
- ✅ 必要时手动调整个别镜头
- ❌ 写逐字稿（编剧负责）
- ❌ 搜索下载素材文件（美术负责）
- ❌ 构建时间轴（剪辑师负责）
输入 → 输出
- 输入：
script.md（编剧产出的逐字稿） - 输出：
storyboard.json（结构化数据）+storyboard.md（可读版本）
执行方式
运行脚本
python scripts/generate_storyboard.py <project_dir> [--style <风格>] [--duration <时长>]
参数：
project_dir— 项目目录（包含 script.md）--style— 视频风格描述（默认："AI科技/知识分享"）--duration— 目标时长（默认："6-10分钟"）
脚本会：
- 读取
script.md - 用 prompt 模板 + 变量替换构建 prompt
- 调用 Gemini Flash API（
gemini-2.5-flash，低成本纯文本模型） - 解析 JSON 响应
- 输出
storyboard.json+storyboard.md - 失败自动重试 1 次
storyboard.json 格式
[
{
"shot_number": 1,
"time_range": "0:00-0:05",
"script_text": "你有没有想过一个问题",
"asset_type": "概念画面",
"media_format": "ai_video",
"visual_description": "A person scrolling through a phone with countless notification pop-ups flooding the screen, warm office lighting, close-up shot, dynamic movement",
"mood": "焦虑、快切",
"duration_seconds": 5
}
]
storyboard.md 格式
# 分镜表 — 视频标题
> 总镜头数：XX 个
---
| 镜头 | 时间 | 秒 | 对应逐字稿 | 素材类型 | 媒体格式 | 画面说明 | 情绪 |
|------|------|----|-----------|---------|---------|---------|------|
| 001 | 0:00-0:05 | 5 | 你有没有想过一个问题 | 概念画面 | ai_video | A person scrolling... | 焦虑、快切 |
核心规则
素材类型（asset_type）
| 类型 | 说明 | 典型 media_format |
|---|---|---|
| 截图 | 真实产品/网页/App 界面截图或录屏 | manual |
| 真实人物 | 提到的真实公众人物照片 | manual |
| 文字卡 | 关键概念、金句、结论的排版动效 | post_production |
| 数据图表 | 统计数字、趋势图、对比图 | post_production |
| 概念画面 | 抽象隐喻、无法实拍的概念可视化 | ai_video / ai_image |
| 引用片段 | 新闻报道、产品演示、公开视频截取 | manual |
| 信息图 | 逻辑关系图、流程图、对比表 | post_production |
| 留白 | 纯色/渐变背景，让声音主导 | simple |
| 书籍 | 提到的书籍/论文封面 | ai_image / manual |
| 分屏 | 多画面同时展示 | post_production |
媒体格式（media_format）
| 格式 | 说明 |
|---|---|
| ai_video | AI 生成 5-10 秒动态视频（Veo 3/Seedance/Kling/Sora） |
| ai_image | AI 生成静态图片 |
| manual | 需人工准备（截图、搜索真实照片、录屏） |
| post_production | 后期制作（文字动效、数据图表、信息图） |
| simple | 简单背景，无需制作 |
What ships with it
2 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.
- 12d ago First seen · 183 lines · 116 tokens per session scan A 5ba99bd0104d
video-agent-storyboarder is a skill published in the GitHub repository chenyuxiaojin/video-agent-skills (9 stars, last pushed 3mo ago), licensed MIT. It adds 116 tokens to every session and 1,825 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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