A data-driven behavioral analysis tool that identifies your true personality type by scanning your actual social media footprints rather than relying on self-reported answers.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install real-personality
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 real-personality using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The REAL Personality Test is a sophisticated diagnostic tool within the Openclaw Skills framework that offers a Reading Everyone's Actual Life (REAL) assessment. Unlike traditional tests like MBTI that rely on subjective self-reporting, this skill leverages the Openclaw Skills ecosystem to analyze objective behavioral data across platforms like Xiaohongshu, Weibo, and Bilibili. It focuses on what you actually do—your posts, likes, saves, and interaction rates—to determine which of the 16 REAL personality types fits your digital persona.
By processing data through four specific dimensions—Content Orientation, Social Temperature, Interest Breadth, and Authenticity—it provides a high-fidelity reflection of your digital existence. This skill is ideal for users looking for an unbiased, AI-driven insight into their digital habits and personality traits, utilizing the robust automation capabilities provided by Openclaw Skills.
To get started with this skill within the Openclaw Skills ecosystem, ensure you have the ManoBrowser plugin installed and then follow these steps:
# Navigate to your skills directory
cd ~/.openclaw/skills
# Clone the dependency if not already present
git clone https://github.com/ClawCap/ManoBrowser.git ./manobrowser
# Ensure your .mcp.json is configured for ManoBrowser access
Once configured, the agent will handle platform-specific data collection automatically.
The skill organizes collected data into a structured local JSON format for analysis. Data is stored in real-data/{date}_raw.json with the following schema:
| Field | Description |
|---|---|
platforms |
List of scanned social media platforms (e.g., weibo, douban) |
public_content |
Array of original posts, tags, and topics |
private_behavior |
Data regarding saves, likes, and follows |
interactions |
Quantitative count of comments, replies, and mentions |
post_times |
Temporal data points of user activity |
profile |
Basic metadata including bio and follower/following ratios |
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