What problem does it solve? Investigators and journalists struggle to determine whether social media accounts are authentic, whether multiple accounts are coordinating to amplify a narrative, and how a claim actually spread across platforms before the evidence disappears. ## Core Features & Use Cases - Account Authenticity Assessment: Systematic red-flag checklist (account age, follower ratios, posting volume, profile photos) with a scoring rule that ties three or more flags to explicit low-confidence findings. - Coordination Detection: Checklists for timing, content, account, and network patterns with thresholds that determine whether accounts should be treated as a single source. - Narrative Tracking: Four-step method to find a claim's origin, map its spread with structured JSON records, identify amplifiers, and measure propagation velocity. - Platform Collection Guidance: Current access paths for X, Facebook, Instagram, TikTok, Reddit, YouTube, Bluesky, Telegram, and more, including optional Apify scraper integration with shell-safety discipline and evidence archiving requirements. - Use Case: A journalist sees the same claim pushed by dozens of new X accounts. Use this Skill to score each account's authenticity, document coordination signals, archive the posts before deletion, and record findings in the case file with confidence rationale. ## Quick Start Use the social-media-intelligence skill to assess whether these five X accounts pushing the same claim are authentic or part of a coordinated campaign, and archive the key posts.
