Multi-agent orchestration layer for DeepSeek Harness (omd) — autopilot/ralph/team modes, 19 role cards, 40 bilingual skills, bundled MCP state server. OMC/OMX adaptation.
DeepSeek Harness 的多智能体编排层 —— OMC / OMX 编排理念的 dsh 宿主适配实现。 Multi-agent orchestration layer for DeepSeek Harness, adapted from:
- oh-my-claudecode (OMC) — Claude Code 编排层 - oh-my-codex (OMX) — Codex 编排层
omd 以单个 dsh 插件交付：注入编排协议到系统提示词、注册 40 个 skill + 19 个 omd-agent- 角色卡（共 59 个技能目录条目）与 2 个斜杠命令、挂载内置 MCP server 提供状态/记忆工具。三种执行模式（autopilot / ralph / team）覆盖从一句话需求到多智能体流水线的完整光谱。
要求：Node.js ≥ 22.19，dsh 宿主 0.1.5-rc.1+。所有 @deepseek-ai/ 依赖均为宿主义务（peerDependencies，缺失自动降级，见下文「依赖边界」）。
模式 一句话示例 说明 --------- autopilot autopilot 帮我做一个 CLI 字数统计工具 自然语言触发，goal 驱动的全流程自动编排（访谈→规划→执行→双评审门） ralph ralph: 把 README 的测试徽章数字同步到当前实际值 显式触发（ralph: 前缀），PRD + 证据契约的迭代循环，前台阻塞 team 用 team 调研插件市场生态并出报告 无关键词，只能显式调用；多角色五阶段流水线（AgentTeams 承载）
操作 命令 ------ 取消当前模式 输入 cancelomd（或 stopomd），或斜杠命令 /omd-cancel 验装诊断 /omd-doctor（注册计数 / Config / MCP 冒烟 / .omd 可写性）
退役关键词 ultrawork / ulw / uw / ccg 不再触发，命中时会提示改用 autopilot 或 team。
维度 内容 ------ 执行模式 3 种：autopilot（goal 循环）/ ralph（PRD 迭代）/ team（五阶段流水线），模式互斥 + 触发守卫防误触发 角色 19 个委派角色卡（omd-agent-：explore / planner / analyst / executor / verifier / code-reviewer / designer / architect / debugger / tracer / security-reviewer / test-engineer / qa-tester / scientist / critic / writer / git-master / document-specialist / code-simplifier），各带档位（low 2 / medium 10 / high 7）与职责资产 Skills 40 个（中英双语资产）：3 执行模式 + 规划（ralplan/plan/deep-interview/ask-navigator）+ 质量（execute/verify/review/ai-slop-cleaner/minimal-code-discipline/agent-doc-discipline）+ 研究（research/autoresearch/external-context/trace/debug/graph）+ 记忆（remember/skillify/skill/self-improve/wiki）+ 基础设施与元（deepinit/drydock/harbor/loft/launch/hud/c
From the project README.
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