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 niki914/zafiro --skill proceed-videogit clone --depth 1 https://github.com/niki914/zafiroWrote 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/niki914/zafiro/proceed-video)<a href="https://agentmods.dev/skills/niki914/zafiro/proceed-video"><img src="https://agentmods.dev/badge/skills/niki914/zafiro/proceed-video/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/niki914/zafiro/proceed-video"><img src="https://agentmods.dev/badge/skills/niki914/zafiro/proceed-video.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 | $0.00078 | $0.01637 |
| Opus 5.5 | $0.00031 | $0.00655 |
| Sonnet 5.5 | $0.00016 | $0.00327 |
| Haiku 4.5 | $0.00008 | $0.00164 |
Grade A, and why
proceed-video 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI 交互视频动效解析 (proceed-video)
本技能专为高保真复刻 UI 设计师网页效果打造。通过将录屏视频解析为切片网格与历史残影图,结合多模态视觉直读,精准捕捉微交互中的速度曲线、回弹物理学与光标细节。
一、 输入约束与要求 (Input Constraints)
- 必须为“原子步骤”视频:
- 录屏必须只包含单一阶段的微交互动效,例如:
- 【鼠标从外部移入组件上】(Hover 触发)
- 【鼠标已经在组件上,进行一次点击】(Click 响应)
- 【鼠标拖拽组件松手回弹】(Drag & Release)
- 严禁输入长流程或复合多步骤视频(例如“移入卡片 -> 弹出菜单 -> 点击子项 -> 跳转页面”),复合视频会使切片与残影混合混乱,无法精确定量分析。
- 录屏必须只包含单一阶段的微交互动效,例如:
- 格式支持:MP4, MOV, WebM 等标准视频格式。
二、 核心处理流程 (Execution Workflow)
收到用户的视频路径后,严格按照以下步骤执行:
第一步:运行脚本生成视觉产物
使用内置脚本 proceed_video.py 对视频进行解析与切片处理:
# 自动运动检测模式(推荐常规原子视频使用)
python3 "<skill_dir>/scripts/proceed_video.py" "<video_path>" -o "<output_dir>"
# 若用户明确指定了动效区间或视频较长(例如 2.5s 开始,持续 0.8s)
python3 "<skill_dir>/scripts/proceed_video.py" "<video_path>" -o "<output_dir>" -s 2.5 -d 0.8 --fps 30 --rows 4 --cols 4
脚本将默认生成两类核心产物并保存至输出目录:
grid_slice.png(4×4 网格切片图):- 类似电影胶片分镜,按时间序列展开 16 个关键切片,用于横向对比各帧的加速度变化与回弹超调。
ghost_sbs.png(左右对比残影图):- 左侧:正常的清晰静态基准帧(便于了解组件真实外观);
- 右侧:越早越淡、层次清晰的历史残影图(展现运动轨迹、连贯性与位移幅度)。
第二步:多模态直读与双重视图交叉验证
- 直读原视频:
- 优先使用多模态文件查看工具(如
view_file)直接读取原始视频,从全局动态视角把握交互质感与流畅度。
- 优先使用多模态文件查看工具(如
- 查验切片产物:
- 查看生成的
grid_slice.png与ghost_sbs.png,在静态维度下核实微小的时间差(毫秒级)和几何变化(位移像素、旋转角度)。
- 查看生成的
第三步:输出结构化复刻分析报告
完成观察后,用清晰专业的自然语言输出详细报告,报告必须涵盖以下核心模块:
1. 组件视觉层级与初始态 (Visual Hierarchy)
- 描述背景颜色、主组件尺寸、边框风格(Border)、圆角大小(Border Radius)。
- 描述多图层上下层级关系(如前置主卡片与后置隐藏卡片的 Z-index 结构)。
2. 光标特殊形态与变换细节 (Cursor Morphing)
- 鼠标指针在进入组件前后是否有特殊形态变换(例如:常态图标是什么、取得焦点后是否变成特定图标、透镜、放大镜或磨砂玻璃光圈)。
- 光标是否有自定义尺寸、模糊滤镜(
backdrop-filter)或背景透射效果。
3. 触发机制与交互时机 (Trigger Mechanism)
- 明确是无需点击(纯 Hover 触发)还是点击触发(Click)。
- 碰撞盒判定边界(进入边缘即触发,还是有延迟防抖)。
4. 动效物理学与运动曲线 (Motion Physics)
- 过渡总时长:以毫秒(ms)为单位(例如 300ms ~ 350ms)。
- 位移与旋转:X 轴与 Y 轴的具体位移幅度(px)、旋转方向与角度(deg)。
- 回弹与物理曲线 (Spring / Overshoot):
- 是否存在弹簧超调回弹(在何时达到最大形变,随后回弹多少像素)。
- 是否为加速弹出后缓动停靠。
- 移出或反向动效 (Exit / Retract):光标离开后的收回速度与曲线。
5. 推荐技术栈与高保真复现方案 (Tech Stack Recommendation)
- 动效库选择:
- 强烈倾向使用成熟动效库(如 React 环境下的
Framer Motion,使用type: "spring"配置stiffness与damping参数)。 - 避免手动手搓复杂的三次贝塞尔曲线(
cubic-bezier)。
- 强烈倾向使用成熟动效库(如 React 环境下的
- 特殊视觉效果实现:
- 针对磨砂玻璃、高斯模糊等效果,倾向使用原生 CSS 属性(如
backdrop-filter: blur(...))或现成组件库,避免手搓 WebGL 着色器。 - 提供具体的参考代码片段(TypeScript / React / CSS)。
- 针对磨砂玻璃、高斯模糊等效果,倾向使用原生 CSS 属性(如
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.
- 4d ago First seen · 101 lines · 78 tokens per session scan A ff1fd6eef0d2
proceed-video is a skill published in the GitHub repository niki914/zafiro (263 stars, last pushed 2d ago), licensed MIT. It adds 78 tokens to every session and 1,637 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-13.
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