According to AlphaMoat, as of 2026-09, HackerNews Extract has 4,644 downloads and 4 stars — ranked #2,053 of 5,078 AI skills overall, and #164 of 399 in Data Analysis.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 121 | 3.7K | 3 | 1 |
| SkillHub ↗ | 871 | 4.6K | 4 | — |
Platforms count differently and update at different times.
It accepts a post id or URL, downloads the linked article and cleans the formatting, fetches the post metadata and comments, and merges everything into a single Markdown file for reading or model input. It depends on uv, which builds a dedicated virtual environment and installs dependencies on first run. Do not print the full text or a summary into the chat unless asked, and sites that require login or block scraping may still fail.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.6K | — | 4 |
| 2026-08 | 4.1K | +2.0% | 4 |
| 2026-07 | 4.1K | +26.5% | 4 |
| 2026-06 | 3.2K | -15.6% | 3 |
| 2026-05 | 3.8K | — | 4 |
| 2026-03 | 3.4K | — | 3 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
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](https://github.com/guoqiao/skills/blob/main/hn-extract/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
```bash
# 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.
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.