A premier social intelligence layer that empowers AI agents to track trending content, analyze influencer profiles, and monitor real-time social dynamics.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install xclaw
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install xclaw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is XClaw Intelligence?
XClaw Intelligence is a sophisticated data extraction and analytical tool designed to integrate seamlessly into the Openclaw Skills ecosystem. By tapping into the powerful CryptoHunt engine, this skill provides AI agents with high-fidelity social media intelligence, ranging from viral trend discovery to deep-dive account forensics. It is built for developers and researchers who need to automate the gathering of social signals and transform them into actionable insights.
This skill serves as a bridge between raw social media streams and strategic decision-making. By offering tools to track identity evolution, recover deleted content, and rank user authority through complex ability models, it stands as an essential component for any modern intelligence workflow using Openclaw Skills. Whether you are building a crypto market monitor or a digital marketing automation tool, XClaw provides the necessary data depth to drive sophisticated AI behaviors.
XClaw Intelligence Use Cases
- Monitoring real-time trending topics and viral content across global and regional crypto communities.
- Investigating the historical identity changes of key accounts to detect brand shifts or security risks.
- Automating the tracking of social relationship changes like follows and unfollows for competitive analysis.
- Conducting deep KOL audits using soul scores and hexagonal ability models to assess influence.
- Uncovering deleted social media posts to understand narrative adjustments or hidden communications.
- Generating high-conversion content drafts by analyzing viral hooks and trending patterns.
How XClaw Intelligence Works
- The AI agent authenticates with the CryptoHunt API using a securely stored environment variable.
- Users provide natural language queries or specific commands to trigger social data retrieval tasks.
- The skill executes specialized functions like trending discovery or profile crawling based on the request.
- Raw data is processed through the CryptoHunt engine to calculate metrics like soul scores and interest tags.
- The refined intelligence is returned to the agent in a structured format, allowing for further synthesis or content generation.
XClaw Intelligence Setup
To integrate this capability into your suite of Openclaw Skills, follow these installation steps:
- Obtain an API key by registering at apidashboard.cryptohunt.ai.
- Configure your environment by setting the required API key:
export CRYPTOHUNT_API_KEY="your_cryptohunt_api_key_here"
- Deploy the skill within your agent environment and ensure the
xclawcommands are accessible to the Openclaw Skills runner.
XClaw Intelligence Data Schema & Taxonomy
The skill organizes social intelligence into structured data models to facilitate deep analysis:
| Feature | Data Type | Description |
|---|---|---|
| Hot Discovery | Trending Metrics | Top tweets by time (1h/4h/24h) and region (global/cn). |
| Identity Traces | Profile History | Log of changes to Bio, Name, and Avatar over time. |
| Social Pulse | Relation Tracking | Chronological list of follow and unfollow events. |
| Deep Rank | Account Analytics | Soul scores, interest tags, and hexagonal ability models. |
| Ghost Analysis | Deletion Logs | Text and metadata of tweets that have been deleted by the user. |
XClaw Intelligence Advanced Features
- Smart Content Ideation: Automatically suggests tweet versions based on viral hooks and regional trends.
- Multi-Dimensional Filtering: Narrow down results by region, specific tags (e.g., meme, AI), and timeframes.
- Dual Output Modes: Toggle between 'Slim' mode for token efficiency and 'Full/Verbose' mode for raw text and reply history.
- Legacy Alias Support: Maintains compatibility with existing workflows using legacy analyze and crawl commands.
- Deep Tweet Forensics: Fetches full metrics, thread data, and HTML content for comprehensive social research.
SKILL.md
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