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dsh-octo

未验证 tokentopo-ai

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2026-08-19最近推送
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功能简介

an heterogeneous multi-agent collaboration skill designed for dsh

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未验证 — 尚未实测

an heterogeneous multi-agent collaboration skill designed for dsh 尚未验证——请自行安装测试。

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README

dsh-octo

dsh-octo

English | 简体中文

Prerequisites · Install · What It Does · How It Works · Documentation · License

Deepseek Harness (dsh) natively supports headless invocation of Claude Code and Codex as
subagents through its built-in subagent backends, and these subagents can reuse the local account
login state and the coding plans that come with the accounts. For example, if you have a Claude
Code Max plan, you can have dsh call Fable-5 as a subagent.

Inspired by this, I designed this skill specifically for dsh, with these ideas in mind:

  • Use built-in capabilities wherever possible for the most seamless invocation of heterogeneous
    subagents.
  • Make dsh aware that it can call subagents, so it can aggregate multiple agents into greater
    intelligence.
  • Design dedicated multi-agent workflows for different stages—such as planning, coding, and
    acceptance—to achieve high-quality collaboration.

Prerequisites

  • dsh 0.1.0-rc.6.
  • A deepseek-official provider configured for the main dsh model.
  • Node.js, npm, and a pnpm environment available to dsh plugin.
  • Claude Code and Codex installed and signed in locally, with active coding-plan subscriptions
    on the corresponding accounts.

Install

dsh-octo currently targets dsh 0.1.0-rc.6. Install it from a local tarball so dsh can resolve
the bundle and all of its dependencies:

git clone https://github.com/tokentopo-ai/dsh-octo.git
cd dsh-octo
npm pack
dsh plugin --profile web add ./dsh-octo-0.1.0.tgz

Replace web with the profile you use, then restart it.

Once installed, use dsh exactly as usual: describe your task in normal conversation. No trigger
phrase, subagent selection, or stage-by-stage command is required. The skill starts multi-agent
collaboration only when it is useful.

What It Does

dsh-octo is a prompt-only orchestration contract, not an orchestration engine: it ships no
workflow runtime and does not depend on ultracode or dsh Dynamic Workflow capabilities. The
bundle only installs dependencies, registers the skill, and enables the delegation tools; every
routing and stage decision is made by the main agent as it follows the skill's written
instructions.

It only activates itself for tasks that genuinely need multi-stage collaboration:

  • Activates — tasks that need a plan → code → review pipeline (with optional experiments),
    or that benefit from comparing multiple solutions or an independent review pass.
  • Stays out of the way — single-point fixes, direct Q&A, and small changes that don't need a
    design decision. These continue on the main agent's usual path, with no overhead.

When it does activate, the main agent delegates to a fixed pool of official dsh subagent
backends, one per stage:

Agent Composition Delegated tool
fable Claude Code + Fable (xhigh) subagent_claude_code
gpt-5.6-sol Codex + gpt-5.6-sol (xhigh) subagent_codex
deepseek-v4-pro DSH child + deepseek-v4-pro subagent_deepseek_v4_pro
deepseek-v4-flash DSH child + deepseek-v4-flash subagent_deepseek_v4_flash

A typical run walks through:

  1. Planfable drafts an initial plan; four deepseek-v4-pro subagents draft it again in
    parallel from different angles (architecture, implementation path, risk/testing, resources);
    deepseek-v4-flash synthesizes all five into a final plan.
  2. Code — for a Git project, four deepseek-v4-pro subagents implement the plan in parallel,
    isolated git worktrees; gpt-5.6-sol reads all four implementations and diffs, then merges
    them into the final change in the main worktree.
  3. Reviewgpt-5.6-sol checks the implementation against the original task (not just
    against the plan), runs tests, fixes any bugs it finds, and verifies every "fixed/changed"
    claim with an executable command before signing off.
  4. Experiment (only when needed) — the main agent runs the experiment itself and hands the
    results to fable for analysis.

Every handoff between agents is written to a file under artifacts/ (input/, plan/, impl/,
review/, experiments/) rather than passed through shared conversation context, since
heterogeneous agents don't share context with each other. If a subagent is unavailable, times
out, or is rejected, the main agent takes over that step itself instead of blocking the task, and
the handoff records this so the collaboration stays inspectable after the fact.

How It Works

dsh-octo is installed as a static Cordis bundle: a packaged skill provider plus the official
codex and claude-code product providers and their four subagent_* tools, added directly to
the selected dsh profile. Installing from the tarball (rather than dsh plugin add . or a plain
Git checkout) matters here — it is what keeps the package's files allowlist in effect, so only
index.js, cordis.patch.yml, SKILL.md, assets/, docs/, and the READMEs are exposed as the
skill's resource base, and none of this repository's private development material (artifacts/,
AGENTS.md, local_docs/) leaks into it. See Deployment for the full
install/migrate/rollback procedure.

Authentication is never copied into this project: Claude Code and Codex keep using their own
local login state and coding-plan entitlements, and dsh-octo only calls the official backends
that already own that authentication.

Documentation

The following documents ship with the package and cover installation, the delegation contract,
and operational detail beyond this README:

  • Deployment — installing the bundle, cleaning up old configuration,
    verification, and rollback.
  • Agent call manual — delegation tool contracts, prompt structure,
    parallelism, and retry policy.
  • Artifact handoff — directory layout, naming, and the
    minimal-read/worktree boundaries between agents.
  • Config and secrets — credential sources, model routing, and the
    boundaries for CLI fallback.
  • Acceptance checklist — installation, workflow, security, and
    cleanup checks.

License

This project is currently distributed as UNLICENSED; no open-source license is granted.

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 dsh-octo」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:tokentopo-ai/dsh-octo

Headless(CLI)profile:

dsh plugin --profile headless add github:tokentopo-ai/dsh-octo

实测报告

尚未 L3 验证——若已跑过,见下方失败备注。

状态:pending
备注:无 LICENSE 许可 浏览全部待验证失败 →
安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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