Security research often involves questions that general-purpose models refuse Meet Dolly 1 Security and Dolly 2 Security, uncensored variants of GLM-5.3 Flash and GLM-5.3 for defensive testing and red-team workflows. Run them through the Zro API or CLI with zero request retention. Since our July launch, we’ve also added new models, agent integrations, yearly plans, and referrals.
痛点：安全研究人员需要不受通用模型拒绝策略限制的模型来做防御测试和红队工作，但主流模型会拒绝相关请求。
目标用户：安全研究人员、红队、渗透测试人员、防御性安全团队
证据：Security research often involves questions that general-purpose models refuse. Since our July launch, we’ve also added new models, agent integrations, yearly plans, and referrals.
变现：API 按量计费 + 订阅/年付计划 + 企业私有部署/零日志合规方案
MVP：基于开源 abliterated 模型封装安全研究专用 API/CLI，提供零请求留存、红队提示模板、常见安全工具集成，按 token 或月订阅收费。
竞品：Zro、Hugging Face 上的 abliterated/uncensored 开源模型、OpenRouter 上的未审查模型、本地 Ollama/LM Studio 部署
摘要：Zro 在 Product Hunt 发布未审查安全模型 Dolly 1/2 Security，基于 GLM-5.3 Flash 和 GLM-5.3，提供 API/CLI 且零请求留存。自 7 月上线后增加了模型、agent 集成、年付计划和推荐机制，显示已有商业化尝试，但帖子热度为 0，且没有付费用户或收入证据。