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hn-extract氢提取物

Agent Skill

hn-extract 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

91,415

周安装

3,698

GitHub Stars

3

下载量

28,696
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:hn-extract(氢提取物)
来源仓库:https://github.com/guoqiao/hn-extract
安装命令:
openclaw skills install hn-extract
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 hn-extract

简介

将 HackerNews 帖子(文章 + 评论)提取到单个干净的 Markdown 中,以便快速阅读或 LLM 输入。

SKILL.md

name
hn-extract
description
Extract a HackerNews post (article + comments) into single clean Markdown for quick reading or LLM input.
metadata
{"openclaw":{"always":true,"emoji":"🦞","homepage":"https://github.com/guoqiao/skills/blob/main/hn-extract/hn-extract/SKILL.md","os":["darwin","linux","win32"],"tags":["hn","hackernews","comments","extract","markdown","python","uv","scraper","rss","reader","summarize"],"requires":{"bins":["uv"]}}}

HackerNews Extract

Extract a HackerNews post (article + comments) into single clean Markdown for quick reading or LLM input.

see Examples

What it does

  • Accepts an HackerNews id or url
  • Download the linked article HTML, cleans and formats it.
  • Fetches the Hacknews post metadata and comments.
  • Outputs a readable combined markdown file with original article, threaded comments, and key metadata.

Requirements

  • uv installed and in PATH.

Install

No install beyond having uv. Dependencies will be installed automatically by uv into to a dedicated venv when run this script.

Usage Workflow (Mandatory for Agents)

When an agent is asked to extract a HackerNews post:

  1. Run the script with an output path: uv run --script ${baseDir}/hn-extract.py <input> -o /tmp/hn-<id>.md.
  2. Send ONE combined message: Upload the file and ask the question in the *same* tool call. Use the message tool (action=send, filePath="/tmp/hn-<id>.md", message="Extraction complete. Do you want me to summarize it?").
  3. Do not output the full text or a summary directly in the chat unless specifically requested.

Usage

# run as uv script
uv run --script ${baseDir}/hn-extract.py <hn-id|hn-url|path/to/item.json> [-o path/to/output.md]

# Examples
uv run --script ${baseDir}/hn-extract.py 46861313 -o /tmp/output.md
uv run --script ${baseDir}/hn-extract.py "https://news.ycombinator.com/item?id=46861313"
  • Omit -o to print to stdout.
  • Directories for -o are created automatically.

Notes

  • Retries are enabled for HTTP fetches.
  • Comments are indented by thread depth.
  • Sites requires authentication or blocks scraping may still fail.

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

85.94%
按下载量换算24,661

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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