abuse-rule-authoringTurn an abuse signal into a detection rule that can be trusted - a precise definition, thresholds chosen on labelled data with precision and recall reported, an explanation a reviewer can check, an appeal path, and monitoring for drift - before it affects any account. Use when writing or changing a
abuse-signal-brainstormGenerate and rank candidate signals for a specific abuse pattern - fake reviews, sock-puppet accounts, scraped or spun content, bought engagement - by how an abuser would behave, what data shows it, how cheaply the abuser could evade it, and what legitimate users it would also catch. Use when starti
false-positive-appealDecide an appeal against an automated abuse action - re-read the evidence the rule recorded, check it against the rule's definition and known false-positive patterns, gather what the appellant adds, decide uphold or reverse with the reason written, restore what the action removed, and feed confirmed
unsolicited-offer-claim-verificationBreak an unsolicited message offering a job, investment, prize or refund into its claims (who the sender says they are, any upfront fee, promised return, urgency, the action asked) and give each claim an independent check through an official channel the person finds themselves, never the link or num