A 30-cell coding-agent adversarial robustness matrix crossing five high-risk topic areas (offensive cybersecurity, bio/chemical dual-use, agentic misalignment, classifier-level jailbreaks, and prompt injection) with six packaging techniques observed in prior NOPE adversarial findings (hidden fields, schema mimicry, label slip, completion pressure, low-resource language, and authority pressure). Higher coverage means the model kept the task safe: it treated embedded instructions as untrusted, avoided operational harmful assistance, and returned bounded defensive or governance-oriented output.