Skill UI

A comprehensive runbook detailing procedures for responding to failures and outages across Lindy AI agents. Covers critical scenarios including platform downtime (SEV1), individual agent failures, integration authentication issues, credit exhaustion, and webhook endpoint failures. Provides structured diagnostics and fallback strategies to ensure business continuity during incidents.

Guide security analysts through structured incident triage using IR playbooks—from alert intake and enrichment to severity scoring, playbook selection, and team paging—ensuring rapid, repeatable SOC responses.

Combines regex signatures, heuristic scoring, and a DeBERTa classifier to detect prompt injection attempts against LLM-based applications, flagging or blocking malicious inputs before they reach the model and fitting into validation layers, audits, or incident response workflows.

Detects AI-generated voice phishing by extracting MFCC and spectral cues, scoring batches, and outputting forensic reports for incident response and red/blue team exercises.