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HackerNews Extract

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

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版本0.1.5
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技能说明


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.

如何使用「HackerNews Extract」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「HackerNews Extract技能完成任务
  4. 结果即时呈现,支持继续对话优化

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