Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Wraps the TwitterScore.io API to fetch influence scores, follower data, and growth history for Twitter accounts. Supports single lookups, bulk checks of up to 50 accounts, and time-series exports. Filter followers by category (VCs, founders, exchanges) or tag (Ethereum, etc.).
Bulk lookups and category/tag filtering let you segment and compare accounts in one command instead of manually pulling data from the Twitter UI.
When to use it
- Benchmarking your Twitter score against competitors before a product launch
- Identifying which top accounts follow a crypto project by category
- Exporting a year of follower growth to CSV for a post-campaign report
- Bulk-checking influence scores for a list of partnership targets
- Tracking weekly and monthly score changes on your own account
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: who are the top VC followers of @paradigm?
- 1Run `twitterscore followers paradigm --category 1 --top 20` to fetch top Venture Capital followers
- 2Parse returned accounts and their scores
- 3Sort results by TwitterScore descending
- 4Format output as a ranked list with username and score
Ranked list of top 20 VC-category followers of @paradigm with their TwitterScore values
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.