This is a simple skill for article recording, collect URLs as article, and provide users with query, delete, and other capabilities.

This skill appears to do what it says (save/list/delete article URLs) but has two items you should resolve before installing or running it in a production environment: 1) Inspect @bondli-skills/shared (getBrowser) before use. The shared browser module controls how the browser is launched/connected. It could launch a local Chromium, connect to a remote browser, or embed credentials/telemetry. Ask the author for the source or examine the package source to confirm it doesn't send visited page content to an external service. 2) Be aware installing dependencies (puppeteer / puppeteer-core) will download Chromium binaries. If you plan to run the skill, do so in an isolated environment (container/VM) and review network access. The skill writes data to ~/openclaw-skill-data/article-knowledge.json — if that location is acceptable, the file writes are proportional. If you cannot inspect the shared module source, treat this skill as untrusted: run it only in a sandbox, or request a version that removes the opaque dependency by providing a clear, local getBrowser implementation.

Type: OpenClaw Skill Name: article-collect Version: 1.0.0 The skill is a straightforward utility for saving and managing URL bookmarks. It uses Puppeteer to scrape article titles (with specific selectors for WeChat articles) and stores the data locally in a JSON file located at `~/openclaw-skill-data/article-knowledge.json`. The code in `dist/index.js` and `dist/fetch-content.js` performs standard file I/O and web scraping operations consistent with the documentation in `SKILL.md`, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.