A powerful tool for analyzing Twitter influence scores and tracking account growth via the TwitterScore.io API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install twitterscore
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 twitterscore 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 TwitterScore Influence & Growth Analyzer?
This skill enables developers and marketers to integrate deep Twitter analytics directly into their AI-driven workflows. By leveraging Openclaw Skills, you can programmatically access Twitter influence scores, perform follower categorization, and monitor historical growth patterns. It is designed for those who need more than just raw follower counts, providing qualitative data on who is following whom and the overall quality score of an account social footprint.
Whether you are conducting market research or auditing potential partners, this skill provides the technical bridge to TwitterScore.io data. It transforms complex social signals into actionable metrics, making it a vital component for anyone looking to expand their Openclaw Skills repertoire with social intelligence.
TwitterScore Influence & Growth Analyzer Use Cases
- Perform competitive research by comparing the influence scores of top Venture Capital firms and industry leaders.
- Identify high-impact influencers within specific niches such as Ethereum, DeFi, or Gaming ecosystems.
- Monitor the ROI of marketing campaigns by tracking historical follower growth data before and after events.
- Audit the follower quality of any account by filtering for specific categories like Founders, Media, or Exchanges.
How TwitterScore Influence & Growth Analyzer Works
- The user provides a Twitter username or unique Twitter ID to the skill via a command.
- The skill authenticates with the TwitterScore.io API using the pre-configured API key.
- The skill requests specific data modules such as the influence score, follower list, or growth history.
- The raw API response is parsed and formatted into a human-readable summary, JSON for further processing, or CSV for reporting.
- Advanced logic allows for bulk processing and differential analysis to see how scores have changed over time.
TwitterScore Influence & Growth Analyzer Setup
To use this within your Openclaw Skills environment, you first need a TwitterScore API key. Get one at twitterscore.io and then configure your environment:
# Set API key as an environment variable
export TWITTERSCORE_API_KEY="your_api_key"
# Or configure via the OpenClaw CLI
openclaw config set twitterscore.api_key your_api_key
TwitterScore Influence & Growth Analyzer Data Schema & Taxonomy
The skill organizes data into several distinct schemas to facilitate different types of analysis. Below is the primary data structure mapping:
| Entity | Attributes Provided |
|---|---|
| Account Score | Influence score (0-1000), Twitter ID, and username |
| Profile Detail | Display name, bio description, follower count, and profile image URL |
| Follower Analytics | Categorization by industry (e.g., VCs, Angels) and ecosystem tags |
| Growth Metrics | Historical follower counts indexed by date for periods up to one year |
| API Status | Current plan type, monthly usage, and remaining request credits |
TwitterScore Influence & Growth Analyzer Advanced Features
- Bulk processing allows for checking up to 50 accounts in a single command, significantly reducing execution time for large datasets.
- Detailed follower filtering by category ID and tag ID to uncover deep network connections.
- Follower diffing to track exactly how much an account score has improved or declined over weekly and monthly intervals.
- Flexible output options including --json and --csv for seamless integration into other Openclaw Skills or data pipelines.
- Automated rate limit management with a dedicated limits command to prevent workflow interruptions.
SKILL.md
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