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A developer built a quarantine pipeline using two LLM reviewers (Claude and Codex) to detect injection attacks in OpenClaw skills, achieving 93.75% detection rate with zero false negatives. The system uses a dual mandate of checklist-based pattern matching and open analysis to catch both known and novel injection techniques.