A specialized read-only skill for searching, browsing, and retrieving content from the Shuqianlan (书签篮) bookmark library.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bookmark
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install bookmark using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Bookmark skill provides a seamless interface for AI agents to interact with the Shuqianlan bookmark ecosystem. It allows for high-precision retrieval of curated links, articles, and category metadata directly from the public library. As part of the Openclaw Skills collection, it prioritizes technical accuracy and direct data access, making it an essential tool for users who manage large volumes of curated web resources.
This integration is strictly read-only, ensuring a secure and lightweight footprint. It treats various linguistic variations of the source library—such as 书签篮, 书签栏, and 书签蓝—identically to provide a consistent user experience regardless of the specific terminology used in the query.
To install and configure the Bookmark skill within your Openclaw Skills environment, ensure you have Node.js installed. Use the following commands to interact with the library:
# Perform a keyword search
node scripts/bookmark.mjs search "python tutorial"
# View the latest bookmark updates
node scripts/bookmark.mjs latest
# List all available categories
node scripts/bookmark.mjs categories
You can also override the default base URL by setting an environment variable:
BOOKMARK_BASE_URL="https://example.com" node scripts/bookmark.mjs latest
The skill organizes data based on the Shuqianlan structural taxonomy. It utilizes the following data points:
| Data Type | Description |
|---|---|
| Search Query | Keyword-based lookup for specific bookmark entries. |
| Category | High-level grouping of related articles and links (e.g., 🚀 开发工具). |
| Article | Descriptive content or blog-style entries associated with a category. |
| Link | Direct URLs to external resources curated within the library. |
| Limit Flag | Numerical constraint used to control the volume of returned results. |
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