dsh-expert-team
yangdcm
把多个 AI 专家智能体组队干活,自动分工协作完成编码和复杂任务。
Luminousyyh1560更新于 3 天前
把有限的编码任务交给后台 CLI 代理执行,自动返回结构化结果和真实 diff,省心又安全。
实用分
83 / 100
配置门槛
开箱即用
协议
MIT
语言
Python
复制命令,或者把整个安装任务交给你的 Harness 智能体。
git clone https://github.com/Luminousyyh/skill-wb-exec.git请帮我安装 DeepSeek Harness 插件「skill-wb-exec」: - GitHub 仓库:Luminousyyh/skill-wb-exec(https://github.com/Luminousyyh/skill-wb-exec) - 类型:cordis 插件(装到 DSH profile) - 该插件开箱即用,无需额外配置。 请先查看仓库 README 确认安装步骤,然后按官方方式安装。装完后告诉我怎么使用。
来自项目自身文档的清洗摘录。
wb-exec Delegate bounded implementation work to another CLI agent; keep planning, supervision and review for yourself. wb-exec is a DeepSeek Harness plugin (skill bundle) : the host agent hands coding / refactoring / test-writing subtasks to a headless CLI executor and gets back a structured result plus the real diff . The default executor is WorkBuddy / CodeBuddy (DeepSeek V4.1 Flash, effort max ) , pinned on purpose. If you do not have it, switch backends with --executor — codex , claude , aider , or custom (any CLI, via an argument template). Isolation, supervision, structured capture and the out-of-scope check are identical on every backend. ⚠️ Prerequisite. Whichever backend you pick must be installed on the same machine. Without it the plugin installs but the skill cannot do anything: its first step, doctor , reports ok=false and stops. It never installs dependencies or rewrites configuration on its own. Fits: tasks with a clear boundary that can be finished independently, with an enumerable set of files; using a cheaper executor for volume while the host only plans and reviews;…
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