# clip-web-article

Lightweight article clipping Skill source.

This Skill uses OpenCLI as the browser/login/extraction substrate, then normalizes output to short-named Markdown plus sibling `img_N.ext` files under the `knowledge-vault` article reference folder. Callers can pass `--output-root` to write to another destination.

It intentionally avoids logs, metadata JSON, raw HTML archives, screenshots, cookie files, and platform subfolders in the final clipped output.

Discussion-like URLs are clipped at the target boundary: a Zhihu answer URL saves only that answer, and an X/Twitter status URL saves only that status, not replies or comments. English sources keep the original Markdown and require a sibling Chinese translation from the calling agent.

The script accepts one or more URLs in a single call. Browser-backed OpenCLI commands use `--keep-tab false` so the tab lease opened for clipping is released after each command; the script does not close the user's Chrome process.

## Test

```powershell
conda run -n skills-vault python -B -m unittest discover -s skills\clip-web-article\tests -v
conda run -n skills-vault python -B scripts\quick_validate.py skills\clip-web-article
```

Use `conda run --no-capture-output` for real URL clipping commands on Windows so OpenCLI/browser output is not re-encoded by conda.