MH summarize
/install mh-summarize
Summarize
Fast CLI to summarize URLs, local files, and YouTube links.
When to use (trigger phrases)
Use this skill immediately when the user asks any of:
- “use summarize.sh”
- “what’s this link/video about?”
- “summarize this URL/article”
- “transcribe this YouTube/video” (best-effort transcript extraction; no
yt-dlpneeded)
Quick start
summarize "https://example.com" --model google/gemini-3-flash-preview
summarize "/path/to/file.pdf" --model google/gemini-3-flash-preview
summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto
YouTube: summary vs transcript
Best-effort transcript (URLs only):
summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto --extract-only
If the user asked for a transcript but it’s huge, return a tight summary first, then ask which section/time range to expand.
Model + keys
Set the API key for your chosen provider:
- OpenAI:
OPENAI_API_KEY - Anthropic:
ANTHROPIC_API_KEY - xAI:
XAI_API_KEY - Google:
GEMINI_API_KEY(aliases:GOOGLE_GENERATIVE_AI_API_KEY,GOOGLE_API_KEY)
Default model is google/gemini-3-flash-preview if none is set.
Useful flags
--length short|medium|long|xl|xxl|\x3Cchars>--max-output-tokens \x3Ccount>--extract-only(URLs only)--json(machine readable)--firecrawl auto|off|always(fallback extraction)--youtube auto(Apify fallback ifAPIFY_API_TOKENset)
Config
Optional config file: ~/.summarize/config.json
{ "model": "openai/gpt-5.2" }
Optional services:
FIRECRAWL_API_KEYfor blocked sitesAPIFY_API_TOKENfor YouTube fallback
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install mh-summarize - 安装完成后,直接呼叫该 Skill 的名称或使用
/mh-summarize触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
MH summarize 是什么?
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”). 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 703 次。
如何安装 MH summarize?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mh-summarize」即可一键安装,无需额外配置。
MH summarize 是免费的吗?
是的,MH summarize 完全免费(开源免费),可自由下载、安装和使用。
MH summarize 支持哪些平台?
MH summarize 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 MH summarize?
由 mohdalhashemi98-hue(@mohdalhashemi98-hue)开发并维护,当前版本 v1.0.0。