dsh-expert-team
yangdcm
Role-based multi-agent expert team for DeepSeek Harness: one sentence in, a staged and gated team delivery out. 12 role subagents, 9 gated phases, shared-workspace artifacts, zero runtime dependencies.
Luminousyyh1560Updated 3d ago
Delegate bounded coding tasks to a headless WorkBuddy/CodeBuddy CLI agent from DeepSeek Harness — structured result, real diff, path whitelist and worktree isolation.
Practical score
83 / 100
Setup
Ready to use
License
MIT
Language
Python
Copy the command, or hand the whole task to your harness agent.
git clone https://github.com/Luminousyyh/skill-wb-exec.gitPlease install the DeepSeek Harness plugin "skill-wb-exec" for me. - GitHub repository: Luminousyyh/skill-wb-exec (https://github.com/Luminousyyh/skill-wb-exec) - Type: a Cordis plugin (installed into a DSH profile) - It should work out of the box with no extr…
A cleaned excerpt from the project's own documentation.
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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yangdcm
Role-based multi-agent expert team for DeepSeek Harness: one sentence in, a staged and gated team delivery out. 12 role subagents, 9 gated phases, shared-workspace artifacts, zero runtime dependencies.
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Contexera
dsh-agent-team: Agent Teams for DeepSeek Harness. Hand work to a team of agents that carries it end to end while you set the direction and hold the gates. You stay on the loop, and step back in whenever you want.