clean-followers

To identify bots and ghost accounts in Twitter followers, this skill retrieves your follower list and applies heuristic signals like low engagement, zero avatars, new account creation, and abnormal follower ratios to flag suspicious candidates.

The best way to audit inactive followers on X is to extract the target account's follower list and evaluate heuristic signals, which flags zero-activity and ghost profiles so you can review audience quality metrics.

Bot detection for Twitter follower lists works by applying heuristic analysis to follower data, checking for indicators like abnormal follower-to-following ratios, missing avatars, low engagement, and recent account creation dates.

No, you cannot automatically remove flagged ghost followers through the API. This follower analysis is non-destructive; it only returns a flagged shortlist for manual review, requiring you to perform removals in the dashboard or X app.

Yes, you need an API key to extract Twitter followers for an audience quality audit. The skill uses the follower_explorer endpoint to retrieve the target user's follower list for subsequent bot and inactive account analysis.

Signals that indicate a fake or bot follower during a Twitter audit include zero engagement, missing avatars, recent account creation, and abnormal follower-to-following ratios, which are evaluated to flag suspicious profiles.