A lightweight REST-based integration for Openclaw Skills to manage Evernote and Yinxiang notes, notebooks, and tags.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install evernote-yinxiang
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 evernote-yinxiang using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Evernote-Yinxiang integration is a specialized utility within the Openclaw Skills ecosystem designed for high-performance note management. Unlike traditional integrations that rely on the bulky and often outdated Evernote3 SDK, this skill utilizes a direct REST API approach via the Python requests library. This ensures a smaller footprint and faster execution times for AI agents.
Whether you are using the international version of Evernote or the Chinese Yinxiang Biji service, this skill provides a unified interface for programmatic access. It allows AI agents to act as personal assistants that can archive thoughts, retrieve meeting minutes, and organize digital workspaces through structured data operations.
To get started with this skill in your Openclaw Skills environment, follow these steps:
.env file in the skill directory:# Path: ~/.qclaw/skills/evernote-yinxiang/.env
YINXIANG_TOKEN=S=your_developer_token_here
pip install requests
The skill interacts with Evernote's data structures and outputs results in a structured JSON format. Below is the mapping of primary data fields used by Openclaw Skills:
| Field | Description | Format |
|---|---|---|
| GUID | Unique identifier for notes, notebooks, or tags | String |
| Title | The display name of the note | String |
| Content | Note body formatted in ENML/HTML | String/HTML |
| Tags | List of labels attached to a note | CSV/Array |
| Success | Status of the API operation | Boolean |
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