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plugin: register locally-defined custom agents (~/.dsh/agents/*.md) as callable subagents via the use_agent tool, with continuable background dispatch and ask_agent follow-ups","maintainers":[{"name":"aiwayds","email":"aiway.ds@qq.com"}],"readme":"# dsh-subagent-registry\n\n[English](./README.en.md)\n\n把 `~/.dsh/agents/*.md` 定义的自定义 agent（frontmatter 元数据 + markdown\n正文作为 persona/system prompt）注册成 [dsh](https://github.com/deepseek-ai/deepseek-harness)\n可按名调用的 subagent：主对话通过 `use_agent` 点名调用，`ask_agent` 对后台\n代理追问并等回复。跑在 dsh 自带的 `spawn` provider 上，纯插件、不改 dsh 本体。\n\n## 特点\n\n- **一个 markdown 文件就是一个 agent** — frontmatter 写模型/思考强度，正文就是\n  system prompt，改完即生效。\n- **断点续跑** — 长任务中断（报错/取消/限额/崩溃）后再次调用，自动从已保存的\n  中间进度继续，不从头重来。\n- **后台派发 + 双向追问** — `background: true` 把代理放到后台跑，主对话继续干活；\n  `ask_agent` 发追问并等它的回复。\n- **开箱即用三个人物** — 装好即自动植入 `workhorse` / `oldfox` / `rubber-duck`\n  三个预置 agent（见下）。\n- **站在官方 subagent 机制之上** — 不自建执行器：每个自定义 agent 都通过 dsh\n  官方的 `spawn` provider 启动，子代理就是货真价实的 dsh subagent（完整会话、\n  持久化、continuable）。官方 subagent 栈的新能力（如双向通信）本插件自动\n  继承；官方原生 `subagent` 工具继续可用，两者并存、互不干扰。\n- **纯插件** — 只依赖 dsh ≥ 0.2.0-rc.2 的公开 subagent 机制，可随时干净卸载。\n\n## 三个预置 agent\n\n首次启动时植入 `~/.dsh/agents/`（仅当目录里还没有可解析的 agent 时；你的修改\n永远不会被覆盖）。它们就是普通的 markdown 文件，随便改。\n\n| Agent | 一句话 | 典型用法 |\n| ----- | ------ | -------- |\n| **workhorse**（牛马狗） | 干活的主力：写代码、调查、测试、部署，脏活累活全包；默认 `deepseek-flash`，受保护禁止危险操作 | 「用 workhorse 把发布清单整理成表格」 |\n| **oldfox**（老法师） | 顾问不干活：分析、trouble shooting、review 挑刺，只把关不动手；`glm-5.3` | 「让 oldfox 审一下这个方案」 |\n| **rubber-duck**（小黄鸭） | 多模态视觉 agent：看截图/图表/手写字，画 plotext/mermaid/matplotlib 图；跑在支持图像的模型上 | 「用 rubber-duck 看这个截图，提取页面文字」 |\n\n## 用法\n\n装好、重启 dsh，然后在对话里直接说——主模型会按名字挑 agent：\n\n> 用 workhorse 把今天的发布清单整理成表格\n\n底层就是 `use_agent(agent: \"workhorse\", prompt: \"…\")`。后台代理用\n`ask_agent(agent: \"worker\", message: \"…\")` 追问，会等它的回复。\n\n## 定义自己的 agent\n\n往 `~/.dsh/agents/` 丢一个文件：\n\n```markdown\n---\nname: my-agent\ndescription: \"一行简介，显示在 use_agent 名册里\"\nmodel: opencode-go/deepseek-flash\nthinking: high\n---\n\nYou are my-agent. 这段 markdown 正文会原样作为 system prompt。\n```\n\nFrontmatter 字段：`name`（必填）、`description`、`display_name`、`model`\n（`provider/model`，缺省继承）、`thinking`（`off/low/medium/high/max`，缺省继承）、\n`deep`（`0` = 叶子不许再开子代理，缺省 `1`）、`background`（`true` = 默认后台跑）、`maxRounds`（正整数，per-agent 轮数上限，覆盖 `dsh-tui.maxRounds` 全局值；宿主 TUI 的硬停梯消费）。\n未知字段静默忽略。\n\n### 并发与轮数上限（0.1.7 起）\n\n**并发数与嵌套深度由官方 dsh-subagent 托管**，本插件不自管并发计数与排队\n（官方 ActivationManager 统一调度）：`maxActiveSubagents`（同时活跃子代理上限，\n默认 `8`）与 `maxDepth`（委托嵌套深度上限，默认 `1`）。两者都是 volatile 字段，\n免重启热调——在 profile patch 里写 `subagent: { maxActiveSubagents: N, maxDepth: M }`，\n或运行时 `settings.update('subagent', …)`。`use_agent` 的 `deep` frontmatter\n只是在这条官方深度预算内再收紧（`deep: 0` 叶子直接拔掉所有开代理的工具）。\n\n`maxRounds`（per-agent 轮数上限）**本插件继续保留**：官方 subagent seam 没有轮数\n预算能力，该键仍由宿主 TUI 的硬停梯消费。\n\n→ **完整参考**：[docs/AGENT-FORMAT.md](./docs/AGENT-FORMAT.md)（英文）——每个字段\n的校验与失败行为、`deep`/`thinking` 语义、续跑机制、后台派发、配置项、已知边界。\n\n## 内置技能\n\n插件随包注册一个名为 `dsh-subagent-registry-config` 的技能（bundled skill）。对话涉及自定义\n子代理、agent `.md` 编写、子代理续跑或本插件配置时，dsh 会自动加载这份使用与配置指南，\n主模型可以据此用 `ask_user_question` 代写 agent 文件、调整插件配置，无需翻 README。\n技能与插件同版本发布，随 npm 包携带（`skills/dsh-subagent-registry-config/SKILL.md`）。\n\n## 安装\n\n**要求 dsh >= 0.2.0-rc.2**（RC/稳定线；alpha 线不再支持）。\n\n方式 A — 把本地 checkout 挂进 dsh profile：\n\n```sh\ndsh plugin --profile tui add ~/github/dsh-subagent-registry\n```\n\n方式 B — npm 依赖：`npm i @aiwayds/dsh-subagent-registry`，然后在 profile\n配置里以稳定 id `dsh-subagent-registry` 加载，或通过 bundle patch 挂载\n（挂法见本仓 `cordis.patch.yml`）。\n\n## 卸载\n\n```sh\ndsh plugin --profile <name> remove @aiwayds/dsh-subagent-registry\n```\n\n宿主会把插件从 profile 里摘除；重启 dsh 后 `use_agent` / `ask_agent` 工具\n消失。**`~/.dsh/agents/` 里的 agent 文件会保留**——它们归你所有，不会被\n重新植入或覆盖。没有本插件时 dsh-tui-pi 会优雅降级（只是失去自定义 agent\n派发能力）。\n\n## 开发\n\n```sh\nnpm run check    # tsc --noEmit\nnpm run build    # tsc -> lib/\nnpm test         # 全部单元测试（无 LLM、无网络）\n```\n\n## License\n\nMIT\n","readmeFilename":"README.md"}