cyber-detecting-ai-model-prompt-injection-attacks

name	cyber-detecting-ai-model-prompt-injection-attacks
description	Detects prompt injection attacks targeting LLM-based applications using a multi-layered defense combining regex pattern matching for known attack signatures, heuristic scoring for structural anomalies, and transformer-based classification with DeBERTa models. The detector analyzes user inputs before they reach the LLM, flagging direct injections (system prompt overrides, role-play escapes, instruc
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YURI skill adapter

Authoritative source: .claude/skills/cyber-detecting-ai-model-prompt-injection-attacks/SKILL.md

Authoritative source SHA-256: 3beb7edf021f60cb7c4895f01106dcd57cde7ea298792a6628d2cf68bed4b1ab

Source class: cyber-armed

Before acting, read the authoritative source file above completely from beginning to end. If the governed source is absent, run node _SYSTEM/Scripts/skill-recall.mjs --show cyber-detecting-ai-model-prompt-injection-attacks and read its complete verified output. Follow that source as the skill body; this adapter is a non-authoritative metadata-and-pointer projection.