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video-content-analyzer-fixed视频内容分析器已修复

Agent Skill

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

总安装

2,521

周安装

103

GitHub Stars

公开资料未说明

下载量

808
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:video-content-analyzer-fixed(视频内容分析器已修复)
来源仓库:https://github.com/terrycarter1985/video-content-analyzer-fixed
安装命令:
openclaw skills install video-content-analyzer-fixed
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install video-content-analyzer-fixed

简介

通过每 10 秒提取帧、搜索网络参考、在 Supabase 中存储元数据以及生成飞书 Wiki 报告来分析视频。

SKILL.md

Video Content Analyzer - ClawHub Skill

Analyze video content, extract keyframes, search web for references, store metadata in Supabase, and generate Feishu Wiki reports.

Description

This skill provides a complete video content analysis workflow that automatically processes video files, extracts meaningful frames at configurable intervals, performs web searches for content references, stores all metadata and results in Supabase, and publishes professional analysis reports directly to Feishu Wiki.

Quick Start

# Install the skill
clawhub install video-content-analyzer

# Process a video file
CALL video-content-analyzer:process_video(
    video_path="/path/to/your/video.mp4",
    user_id="user-uuid-here",
    space_id="feishu-wiki-space-id"
)

Use Cases

  • Content Creators: Automatically document and reference sources in video content
  • Media Analysis: Process and catalog video libraries with searchable metadata
  • Education: Generate indexed study materials from lecture recordings
  • Compliance: Create audit trails for video content with source references

Features

FeatureStatus
Video frame extraction at 10s intervals
Google Custom Search API integration
Supabase metadata storage
Feishu Wiki report generation
ffmpeg video probing
Type coercion & error handling✅ v1.0.1
Auto user profile creation✅ v1.0.1
Feishu-compatible link rendering✅ v1.0.1

Methods

process_video(video_path, user_id, space_id)

Main entry point for video analysis workflow.

Parameters:

  • video_path (string, required): Local path to the input video file
  • user_id (string, required): UUID of the user (for Supabase RLS)
  • space_id (string, required): Feishu Wiki space ID for publishing

Workflow:

  1. Probe video and extract metadata (duration, resolution, FPS)
  2. Create video asset record in Supabase
  3. Extract keyframes at 10-second intervals
  4. Save frames to filesystem and database
  5. Perform web search for frame content references
  6. Store search results with relevance scoring
  7. Generate structured analysis report
  8. Publish to Feishu Wiki with proper link formatting
  9. Update video status to "processed"

Environment Variables

Required in .env:

# Supabase
SUPABASE_URL=https://your-project.supabase.co
SUPABASE_SERVICE_ROLE_KEY=your-service-role-key

# Google Custom Search
GOOGLE_API_KEY=your-google-api-key
GOOGLE_SEARCH_ENGINE_ID=your-search-engine-id

# Feishu/Lark
FEISHU_APP_ID=cli-your-app-id
FEISHU_APP_SECRET=your-app-secret

# Optional
FRAMES_OUTPUT_DIR=./extracted_frames

Database Schema

See supabase/migrations/ for complete schema.

  • video_assets: Main video records with metadata
  • video_frames: Extracted frames with timestamps and OCR content
  • search_results: Google search references per frame
  • wiki_pages: Generated wiki page records
  • profiles: User profiles for RLS

Release Notes

v1.0.1

  • FIX: Feishu Wiki search references now render correctly
  • FIX: Supabase metadata storage issues resolved
  • FIX: Video metadata fallback handling for edge cases
  • IMPROVE: Added comprehensive logging

v1.0.0

  • Initial release with core functionality

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

75.86%
按下载量换算613

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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