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ai-hookbot艾钩子

Agent Skill

ai-hookbot 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

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周安装

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GitHub Stars

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下载量

3,145
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:ai-hookbot(艾钩子)
来源仓库:https://github.com/jean-maradiaga/ai-hookbot
安装命令:
openclaw skills install ai-hookbot
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 ai-hookbot

简介

用于处理浏览器自动化、网页检查和页面信息提取。

  • 从 YouTube Shorts 抓取病毒式广告并与 CTA 视频拼接,制作 TikTok/Reels/Shorts 内容。
  • 通过 clawhub 安装,使用 openclaw skills install ai-hookbot 命令部署。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • ai-hookbot 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
ai-hookbot
description
Scrape viral hooks from YouTube Shorts creators and stitch them with a CTA video to produce ready-to-post TikTok/Reels/Shorts content. Use when asked to make hooks, scrape Shorts, create content from a creator, or run the Hookbot pipeline. Triggers on phrases like "make me hooks from @X", "scrape hooks", "run hookbot", "create content from [creator]", "stitch my CTA".

AI Hookbot

Runs the Hookbot pipeline: scrapes YouTube Shorts hooks from a creator's channel, trims them, and stitches each with your CTA video to produce ready-to-post vertical content.

Setup

1. Install dependencies

pip install yt-dlp
brew install ffmpeg   # macOS; or apt install ffmpeg on Linux

2. Clone the pipeline scripts

git clone https://github.com/YOUR_REPO/hookbot-scripts ~/hookbot
Or place pipeline.py and related scripts in any directory — just set HOOKBOT_SCRIPTS_DIR below.

3. Configure environment variables

Copy config.example.env, fill in your paths, and either source it or add it to your shell profile:

cp config.example.env ~/.hookbot.env
# edit ~/.hookbot.env
source ~/.hookbot.env
VariableDescriptionDefault
HOOKBOT_SCRIPTS_DIRDirectory containing pipeline.py~/hookbot
HOOKBOT_CTA_DIRDefault folder to look for CTA videos~/hookbot/cta
HOOKBOT_YTDLP_PATHPath to yt-dlp binaryyt-dlp (assumes in PATH)
HOOKBOT_FFMPEG_PATHPath to ffmpeg binaryffmpeg (assumes in PATH)
YOUTUBE_API_KEYYouTube Data API v3 key (only needed for --viral)_(optional)_

Workflow

  1. Parse the user's request to extract:

- creator_url — YouTube Shorts URL (e.g. https://www.youtube.com/@ZackD/shorts). If only a handle/name is given, construct the URL. - cta_video — Path to CTA video. If only a filename is given, resolve against $HOOKBOT_CTA_DIR. If not specified, prompt the user. - count — Number of hooks (default: 10) - hook_duration — Seconds to grab from each hook (default: 3.0) - output_dir — Where to save final videos (default: ./output relative to $HOOKBOT_SCRIPTS_DIR)

  1. Resolve paths from environment variables (fall back to defaults if unset):
SCRIPTS_DIR="${HOOKBOT_SCRIPTS_DIR:-~/hookbot}"
CTA_DIR="${HOOKBOT_CTA_DIR:-~/hookbot/cta}"
YTDLP="${HOOKBOT_YTDLP_PATH:-yt-dlp}"
FFMPEG="${HOOKBOT_FFMPEG_PATH:-ffmpeg}"
  1. Run the pipeline via exec, passing only the required env vars explicitly (do NOT source ~/.zshrc or any shell RC file):
cd "$SCRIPTS_DIR" && \
YTDLP_PATH="$YTDLP" \
FFMPEG_PATH="$FFMPEG" \
YOUTUBE_API_KEY="${YOUTUBE_API_KEY:-}" \
python3 pipeline.py "<creator_url>" "<cta_video>" \
  --count <count> \
  --hook-duration <hook_duration> \
  --output <output_dir> \
  [--viral]

Add --viral when the user wants hooks sorted by view count (requires YOUTUBE_API_KEY). Default pulls most recent Shorts.

  1. Report back a summary:

- How many hooks were scraped - How many final videos were created - Output directory path - Any failures (sanitize error output before relaying — strip file paths and env var values)

Prompting for Missing Info

  • CTA video not specified: Ask "Which CTA video should I use?" then list .mp4 files in $HOOKBOT_CTA_DIR.
  • Creator not specified: Ask for the YouTube channel handle or Shorts URL.
  • HOOKBOT_SCRIPTS_DIR not set / pipeline.py not found: Tell the user to set the env var and point it to the scripts directory.

Example Invocations

  • "Make me 10 hooks from @ZackD with MyCTA.mp4"
  • "Scrape 5 hooks from youtube.com/@SomeCreator/shorts using my furniture CTA"
  • "Run hookbot on @MrBeast, 3 second hooks, 15 videos, viral sort"
  • "Make hooks from @PeterMcKinnon"

Notes

  • Output videos are 9:16 vertical (1080×1920), normalized automatically.
  • Temp files are cleaned up automatically by the pipeline.
  • A manifest.json is saved in the output directory with metadata.
  • If the pipeline errors, relay the error output to the user verbatim so they can debug.
  • --viral flag requires a YouTube Data API v3 key set as YOUTUBE_API_KEY. Get one at console.cloud.google.com.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

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

04

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

92.14%
按下载量换算2,898

安全审计

VirusTotal

可疑

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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