How do I install the Video Frame Analysis skill?

Run npx skillmds@latest add mason0510/video-frame-analysis in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Video Frame Analysis safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Video Frame Analysis?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Video Frame Analysis free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Video Frame Analysis?

mason0510 (@mason0510) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Video Frame Analysis by mason0510 — Agent Skill

Name: Video Frame Analysis
Author: mason0510

Video Frame Analysis

Use when you need to inspect a local product demo, screen recording, or app walkthrough video by extracting timestamped frames, building a contact sheet, running OCR, and saving a review bundle for Codex or similar agents.

mason0510 Updated Sep 17, 2026

File contents

video-frame-analysis

Overview

把“本地视频 → ffprobe → 带时间戳抽帧 → contact sheet → OCR → summary.txt / ocr.json 落盘”固化成一个可复用的轻量 skill。

适合给 Codex、Claude Code、OpenCode 这类 agent 处理本地 demo 视频、录屏、竞品页面 walkthrough。

When to Use

适用于：

用户丢来一个本地视频，让你判断产品做到哪一步
需要把视频拆成可复查的帧图、OCR 文本、摘要文件
需要先做轻量证据提取，再做人工判断或进一步分析
想避免每次手拼 ffmpeg / tesseract 命令

不适用于：

网络视频下载
批量视频队列
实时流分析
GUI 或 Web 平台
重型视频理解模型

Quick Start

bash scripts/video-frame-analysis.sh /path/to/demo.mp4 ./out/demo-analysis

默认输出：

ffprobe.txt
frame_*.jpg
contact.png
ocr.txt
ocr.json
summary.txt

Installation

推荐直接安装到 Codex / Claude Code / OpenCode：

npx skills add https://github.com/mason0510/video-frame-analysis-skills -g --all

安装后重启 agent 会话，再按需触发本 skill。

Input / Output

输入

本地视频路径
输出目录路径

输出

视频元信息
带时间戳帧图
contact sheet
OCR 文本
OCR JSON
摘要文本

Config

FRAME_INTERVAL_SECONDS=5 FRAME_WIDTH=420 OCR_LANG=eng \
  bash scripts/video-frame-analysis.sh ./demo.mp4 ./out/demo

变量	说明	默认值
`FRAME_INTERVAL_SECONDS`	抽帧时间间隔（秒）	`8`
`FRAME_WIDTH`	单帧宽度	`360`
`OCR_LANG`	OCR 语言候选	`chi_sim+eng`

Project Files

scripts/video-frame-analysis.sh：主脚本
tests/test_video_frame_analysis.sh：最小闭环测试
references/output-format.md：输出目录说明
agents/openai.yaml：OpenAI/Codex 侧显示信息

Common Mistakes

把它当成重型视频理解模型
抽帧过密导致 OCR 噪声暴涨
忽略 contact sheet，只盯 OCR 文本
没检查本机是否装了 ffmpeg / tesseract

---name: video-frame-analysisdescription: Use when you need to inspect a local product demo, screen recording, or app walkthrough video by extracting timestamped frames, building a contact sheet, running OCR, and saving a review bundle for Codex or similar agents.---# video-frame-analysis## Overview把“本地视频 → ffprobe → 带时间戳抽帧 → contact sheet → OCR → summary.txt / ocr.json 落盘”固化成一个可复用的轻量 skill。适合给 Codex、Claude Code、OpenCode 这类 agent 处理本地 demo 视频、录屏、竞品页面 walkthrough。## When to Use适用于：- 用户丢来一个本地视频，让你判断产品做到哪一步- 需要把视频拆成可复查的帧图、OCR 文本、摘要文件- 需要先做轻量证据提取，再做人工判断或进一步分析- 想避免每次手拼 ffmpeg / tesseract 命令不适用于：- 网络视频下载- 批量视频队列- 实时流分析- GUI 或 Web 平台- 重型视频理解模型## Quick Start```bashbash scripts/video-frame-analysis.sh /path/to/demo.mp4 ./out/demo-analysis```默认输出：- `ffprobe.txt`- `frame_*.jpg`- `contact.png`- `ocr.txt`- `ocr.json`- `summary.txt`## Installation推荐直接安装到 Codex / Claude Code / OpenCode：```bashnpx skills add https://github.com/mason0510/video-frame-analysis-skills -g --all```安装后重启 agent 会话，再按需触发本 skill。## Input / Output### 输入- 本地视频路径- 输出目录路径### 输出- 视频元信息- 带时间戳帧图- contact sheet- OCR 文本- OCR JSON- 摘要文本## Config```bashFRAME_INTERVAL_SECONDS=5 FRAME_WIDTH=420 OCR_LANG=eng \ bash scripts/video-frame-analysis.sh ./demo.mp4 ./out/demo```| 变量 | 说明 | 默认值 ||---|---|---|| `FRAME_INTERVAL_SECONDS` | 抽帧时间间隔（秒） | `8` || `FRAME_WIDTH` | 单帧宽度 | `360` || `OCR_LANG` | OCR 语言候选 | `chi_sim+eng` |## Project Files- `scripts/video-frame-analysis.sh`：主脚本- `tests/test_video_frame_analysis.sh`：最小闭环测试- `references/output-format.md`：输出目录说明- `agents/openai.yaml`：OpenAI/Codex 侧显示信息## Common Mistakes- 把它当成重型视频理解模型- 抽帧过密导致 OCR 噪声暴涨- 忽略 contact sheet，只盯 OCR 文本- 没检查本机是否装了 `ffmpeg` / `tesseract`

Frequently asked questions