Code Mate Deepseek Harness logo

Code Mate Deepseek Harness

OrganizationPopular
CherryHQ
code-mate-deepseek-harness

Runs DeepSeek Harness headlessly for bounded repository tasks. Use when the user asks to delegate analysis or implementation to DeepSeek Harness.

Overview

PublisherCherryHQ
Repositorycherry-studio
Skill namecode-mate-deepseek-harness
Stars
51.9K
Forks
5K
Bundled files
Instructions only
LicenseAGPL-3.0
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 CherryHQ on GitHub. Read the source before you install it.

Installation

Install the Code Mate 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/CherryHQ/cherry-studio.git /tmp/cherry-studio
mkdir -p .claude/skills
cp -r /tmp/cherry-studio/resources/code-cli-skills/code-mate-deepseek-harness .claude/skills/code-mate-deepseek-harness
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Code Mate 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 Code Mate 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 Code Mate 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

Run

  1. Set the Bash working directory to the exact project the user named and set a finite timeout, normally 10 minutes.
  2. Check availability with command -v dsh. If it is missing, stop and ask the user to install DeepSeek Harness in Code Mate.
  3. Run one headless task:
bash
dsh --profile headless "<prompt>"

Pass the prompt as one quoted argument. Treat stdout as final text, not JSON. Exit zero means success; exit one means the task failed or did not complete. Never start the interactive UI or a login flow.

Authentication And Permissions

If DSH reports a missing provider, model, or API configuration, stop and ask the user to configure DeepSeek Harness in Code Mate. Never request, read, print, or copy credentials.

Headless DSH can write to the workspace and creates a persistent session. For read-only work, explicitly tell it not to modify files and inspect the repository diff afterward. Allow modifications only when the user explicitly requested workspace changes, and restrict the working directory to the intended project.

Example: ask DSH to diagnose a test failure without editing, run it in the repository, confirm exit zero and a clean diff, then summarize its final text.

Frequently asked questions

What does the Code Mate Deepseek Harness AI skill do?

Runs DeepSeek Harness headlessly for bounded repository tasks. Use when the user asks to delegate analysis or implementation to DeepSeek Harness.

Why use Code Mate Deepseek Harness on TypingMind?

Because you install it once and use it with any model. Code Mate 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 Code Mate Deepseek Harness in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/CherryHQ/cherry-studio/tree/main/resources/code-cli-skills/code-mate-deepseek-harness. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Code Mate 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 Code Mate Deepseek Harness?

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

Is the Code Mate Deepseek Harness AI skill free?

Yes. It is published on GitHub by CherryHQ under the AGPL-3.0 license. 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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