Deepseek Harness logo

Deepseek Harness

CommunityPopular
Devin-AXIS
deepseek-harness

Let the OpenCode host delegate code review, development, and research tasks to DeepSeek Harness.

Overview

PublisherDevin-AXIS
RepositoryiPolloWork
Skill namedeepseek-harness
Stars
6.3K
Forks
1.2K
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Devin-AXIS on GitHub. Read the source before you install it.

Installation

Install the Deepseek Harness AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Devin-AXIS/iPolloWork.git /tmp/iPolloWork
mkdir -p .claude/skills
cp -r /tmp/iPolloWork/examples/plugin-packages/deepseek-harness/skills/deepseek-harness .claude/skills/deepseek-harness
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deepseek Harness in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Deepseek Harness on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Deepseek Harness is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

DeepSeek Harness 协作智能体

本技能是 OpenCode 主代理调用 DeepSeek Harness 外部智能体的委派桥梁，不在以 DeepSeek Harness 作为当前会话引擎时再次委派给 DSH。

使用 ipollowork_extension_call 调用扩展 deepseek-harness。Windows 和 macOS 版软件已经内置官方 DSH 运行环境，不要自行下载或安装系统级 DSH。

默认只向用户说明 DeepSeek Harness 正在协作完成任务，不主动解释隔离副本、主代理、OpenCode 桥接等实现细节；只有用户明确询问安全或技术实现时才说明。

  1. 委派前先调用 capabilities。只有 available: true 且 serviceStatus: "ready" 时才调用 start。
  2. 如果 serviceStatus 是 unavailable 或 unresponsive，明确告诉用户“DSH 服务状态异常”并附上 message，不要假装任务已经开始。
  3. 代码审查、架构分析和第二意见使用 review；需要 DSH 产出修改时使用 code；其他任务使用 standard。
  4. 调用 start 后保存 jobId，再调用 status 直到状态变为 completed、failed 或 cancelled。长任务不要频繁轮询。
  5. 如果任务失败，必须向用户说明返回的错误；错误包含 DSH_SERVICE_UNRESPONSIVE 或 DSH_SERVICE_UNAVAILABLE 时，提示“DSH 服务状态异常”。
  6. deepseek-official 使用插件加密授权或 DEEPSEEK_API_KEY；ipollowork provider 可复用 iPolloWork API key 和推理地址。不要把凭据写进提示词或项目文件。
  7. DSH 始终在插件私有的 Git 隔离副本中运行。它返回的 patch 只是候选修改；检查报告和 patch 后，再由当前主代理决定是否应用到原工作区。
  8. patch 超过单次返回上限时，按 patchOffset 连续读取；用户取消任务时调用 cancel。
  9. 仅当 capabilities.runtimeManagement.supported 为 true 时使用 runtime_install、runtime_update 或 runtime_remove；Windows 和 macOS bundled runtime 不需要这些操作。

DSH 子代理不能自动继承当前 OpenCode 会话里的 OAuth 凭据或主代理专属工具。除非 capabilities 明确报告对应桥接已可用，否则不要声称它能直接操作 Design Studio、Video Studio 或其他主代理工具。

Frequently asked questions

What does the Deepseek Harness AI skill do?

Let the OpenCode host delegate code review, development, and research tasks to DeepSeek Harness.

Why use Deepseek Harness on TypingMind?

Because you install it once and use it with any model. Deepseek Harness is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Deepseek Harness in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Devin-AXIS/iPolloWork/tree/main/examples/plugin-packages/deepseek-harness/skills/deepseek-harness. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deepseek Harness?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Deepseek Harness?

As many as you like. As long as a model supports skills, you can use Deepseek Harness with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Deepseek Harness AI skill free?

It is published on GitHub by Devin-AXIS. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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