dsh-agent-conductor
In a curated listMaintenance: Activemjorgin/dsh-agent-conductor
Dispatches a self-contained task to an installed external agent CLI and returns its output to the DSH conversation.
$ dsh plugin add dsh-agent-conductorInstall
dsh has no central install command — add this plugin’s entry (documented in its README) to your profile or patch config, then restart.
How installs work14
stars
2
forks
JavaScript
Language
MIT
License
2026-08-15
Created
2026-10-30
Last push
README
⚡ dsh-agent-conductor
Let your DeepSeek Harness agent dispatch tasks to 11 external agent CLIs — Codex, Claude Code, TraeCode, OpenCode, Gemini, Cursor, Kimi, Qwen, Copilot, WorkBuddy, Grok — headlessly, and bring results back into the conversation.
English · 简体中文
DeepSeek Harness is a great reasoning engine — but sometimes the job is better done by another coding agent: a Codex translation, a Claude Code investigation, a Cursor refactor. This plugin lets your DSH agent recognize when to delegate (by skill-description matching), dispatch a self-contained task to one of 11 external agent CLIs in headless mode, and bring the stdout result back as the answer.
Inspired by Multica — the "agent squad" idea as a zero-install DSH skill.
🎯 When to use Conductor
- Independent second opinion: ask Codex, Claude Code, or Gemini to review the same design and compare their reasoning.
- Legacy-code investigation: have one agent trace a call chain while another checks risks, regressions, and migration options.
- Cross-model implementation: use an agent whose toolchain or model fits the job, then bring its result back to DSH.
✨ What you get
| Capability | What it does | Cost |
|---|---|---|
| 🧠 Auto-triggered dispatch | Say "have Codex translate this README" — the model matches the skill, runs the dispatch script, and answers from the result | Free (uses the target CLI's quota) |
🔧 conductor_dispatch tool (optional bundle) |
The same registry as a first-class DSH tool, installed into a profile with one command | Free |
🩺 doctor self-check |
python3 dispatch.py doctor probes which CLIs are installed (resolves PATH + tries --version) before you dispatch |
Free |
| 👀 Dry-run preview | Preview the target, working directory, argv, and shell-equivalent command without starting an external agent | Free |
| 👥 11 agent CLIs | Codex, Claude Code, TraeCode, OpenCode, Gemini, Cursor, Kimi, Qwen, Copilot, WorkBuddy, Grok | Their login quotas |
| 🔒 Privacy | Task text goes only to the CLI's own provider; keys stay local | — |
🧭 Why a Skill (and not just a plugin)
| profile plugin / bundle | dynamic plugin | Skill (this repo) | |
|---|---|---|---|
| Install | write profile + restart | define in-session | copy a folder |
| Trigger | manual | model calls a tool | description matching, model auto-recognizes |
| Risk | touches the host | session-scoped, gone on restart | read-only script, host-agnostic |
| Result | tool result | tool result | stdout directly becomes the answer |
One SKILL.md + a zero-dependency dispatch.py (Python stdlib only).
⚡ Quick start (Skill)
Copy skills/conductor/ to any skill root (project-level .dsh/skills/ or global ~/.dsh/skills/):
mkdir -p .dsh/skills/conductor
cp -R skills/conductor/. .dsh/skills/conductor/
No restart needed — from the next message on, just say:
- "派 codex 把这份 README 翻译成繁体中文" (have Codex translate this README)
- "让 Claude Code 查一下这个报错的成因" (ask Claude Code to investigate this error)
- "用 Codex 独立实现一个 XXX" (have Codex implement XXX independently)
The agent auto-recognizes the need (SKILL.md description matching) → runs dispatch.py → returns the result.
Before an unfamiliar or potentially write-producing dispatch, preview it without consuming the target agent's quota:
python3 skills/conductor/scripts/dispatch.py --dry-run claude-code "Read src/auth.ts and explain the token refresh flow. Do not edit files."
🧭 Agent capability matrix
| Task | First choices | Why |
|---|---|---|
| Architecture review / second opinion | Codex, Claude Code, Gemini | Different reasoning styles are useful for catching design blind spots |
| Legacy-code call-chain investigation | Claude Code, Codex, Copilot | Good for tracing repository-local dependencies and attaching evidence |
| GitHub-centric issue or Actions analysis | Copilot, Codex | Natural fit for repositories, pull requests, and CI diagnostics |
| Editor-coupled refactor | Cursor, Codex | Useful when the workflow is tightly connected to an existing project tree |
| Chinese localization / Chinese docs | TraeCode, Qwen, Kimi, Codex | Strong Chinese-language options; keep terminology consistent in the task |
| Fast alternative implementation | OpenCode, Qwen, Kimi | Useful for bounded spikes where a separate login/toolchain is available |
The matrix is a routing starting point, not a hard rule. Prefer an installed, logged-in CLI that has access to the correct workspace.
📋 Copy-ready dispatch recipes
- Safe diagnosis:
You are investigating a bug in the current repository. Do not edit files.
Reproduce the issue from this description: <paste error and steps>.
Read only the minimum relevant files. Return:
1) root cause, 2) evidence with file:line, 3) three ranked fix options,
4) tests that should be added or updated.
- Independent architecture review:
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