在智能体开发中… need final English.
Double-check no Chinese left. Inline code unchanged: dsh-grill-me, satan9394, features. Good.
Need final only. Ensure headings translated.
“是什么” -> “What Is It” maybe Markdown heading level 2.
“核心功能” -> “Core Features”
“安装与启用” -> “Installation and Activation” or “Installation and Enablement”. Maybe “Installation and Enabling”.
“适用场景与注意” -> “Applicable Scenarios and Notes”
“总结” -> “Summary”.
“根据已核实的事实” -> “Based on verified facts”.
“部署” -> “deployment”.
“使用规范” -> “usage requirements/norms”.
“目录页” -> “catalog page”.
Potential: “方案” in agent development = design/plan/proposal. Use “design” or “solution”. In context “方案” = solution plan. “refine the design”. Use “design” consistently.
“In agent development, designs often have logical gaps or unclear points in the early stage. Developers typically need to repeatedly converse with the model to confirm details. The DeepSeek Harness (DSH) plugin ecosystem aims to solve this type of workflow automation problem.”
Good.
“打磨方案” = refine the design.
“达成共识” = reach consensus.
“未提供具体的功能列表（features 字段为空）” -> “does not provide a specific feature list (the features field is empty).”
“目前未提供具体的安装命令。源码托管在 GitHub 仓库中，可以通过访问 … 获取。” -> “No specific installation command is currently provided. The source code is hosted in a GitHub repository and can be obtained by visiting the GitHub repository.”
“该插件适用于需要在对话中反复推敲方案的场景。由于未提供许可证信息，在部署前应检查源码与许可证，确保符合使用规范。” -> “This plugin is suitable for scenarios that require repeated refinement of the design through conversation. Because no license information is provided, you should check the source code and license before deployment to ensure compliance with usage requirements.”
“提供了一种通过结构化追问达成共识的思路。” -> “provides an approach to reaching consensus through structured follow-up questions.”
Potential “追问” = follow-up questions.
Need no code fence.
Ok final.

Need consider user asked Chinese, but final English. Good.

In agent development, designs often contain logical gaps or unclear points in the early stage. Developers typically need to converse with the model repeatedly to confirm details. The DeepSeek Harness (DSH) plugin ecosystem aims to solve this type of workflow automation problem.

What Is It

dsh-grill-me is a DSH workflow plugin maintained by satan9394. It uses a Socratic questioning mechanism to refine the design through structured questions until consensus is reached.

Core Features

Based on verified facts, this plugin currently does not provide a specific feature list (the features field is empty).

Installation and Enablement

No specific installation command is currently provided. The source code is hosted in a GitHub repository and can be obtained by visiting the GitHub repository.

Applicable Scenarios and Notes

This plugin is suitable for scenarios that require repeated refinement of the design through conversation. Because no license information is provided, you should check the source code and license before deployment to ensure compliance with usage requirements.

Summary

dsh-grill-me provides an approach to reaching consensus through structured follow-up questions. For more details, refer to the catalog page or the GitHub repository.