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Agent skill

DeepSeek Harness Delegation

by CherryHQ in CherryHQ/cherry-studio

Hands a bounded repository task to the DeepSeek Harness CLI (dsh) in headless mode, then checks the exit code and the diff before reporting back.

AGPL-3.0Auto-check passedAgent Workflows

Install DeepSeek Harness Delegation

skills CLI
$ npx skills add CherryHQ/cherry-studio --skill code-mate-deepseek-harness -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CherryHQ/cherry-studio code-mate-deepseek-harness --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CherryHQ/cherry-studio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resources/code-cli-skills/code-mate-deepseek-harness .claude/skills/code-mate-deepseek-harness && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
code-mate-deepseek-harness
GitHub stars
52k
Token cost
~359 tokens
SKILL.md length
195 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Hands a bounded repository task to the DeepSeek Harness CLI (dsh) in headless mode, then checks the exit code and the diff before reporting back.

  • Works in 3 steps: Set the Bash working directory to the… → Check availability with command -v dsh.… → Run one headless task
  • Handing a bounded analysis task to DeepSeek Harness instead of doing it yourself
  • SKILL.md covers Run and Authentication And Permissions
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

When you ask to delegate analysis or implementation to DeepSeek Harness, the agent runs it through the `dsh` command in its headless profile. It first points the shell at the project you named, sets a finite timeout of normally 10 minutes, and confirms that `dsh` exists, stopping to ask you to install it in Code Mate if it does not.

The prompt goes in as one quoted argument and stdout is read as plain final text, with exit code zero meaning success and one meaning the task failed or did not finish. The agent never opens the interactive UI or a login flow and never asks for credentials. Because headless runs can write to the workspace and keep a persistent session, read-only jobs are phrased as no-edit requests and the repository diff is inspected afterward.

When your agent uses it

  • Handing a bounded analysis task to DeepSeek Harness instead of doing it yourself
  • Getting a second opinion on a failing test from DeepSeek Harness
  • Delegating a scoped implementation change inside one project

Example prompts

  • “Ask DeepSeek Harness to diagnose why tests/auth.test.ts fails, without editing any files.”
  • “Delegate the pagination refactor in ./api to DeepSeek Harness and show me the diff afterward.”
  • “Run DeepSeek Harness on this repo and summarize what it reports about the build error.”

Requirements

  • The dsh command (DeepSeek Harness installed through Code Mate)
  • Provider and model already configured in Code Mate

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit dd0767e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

DeepSeek Harness Delegation loads about 359 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 195 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~359

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from CherryHQ/cherry-studio at commit dd0767e, republished under its AGPL-3.0 licence (© CherryHQ). 195 words, ~359 tokens.

Download SKILL.mdSave it as .claude/skills/code-mate-deepseek-harness/SKILL.md (or your agent's skills folder).
name
code-mate-deepseek-harness
description
Runs DeepSeek Harness headlessly for bounded repository tasks. Use when the user asks to delegate analysis or implementation to DeepSeek Harness.

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.

© CherryHQ, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in resources/code-cli-skills/code-mate-deepseek-harness of CherryHQ/cherry-studio.

Open the folder on GitHubat commit dd0767e

Compare with similar skills

DeepSeek Harness Delegation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

DeepSeek Harness Delegation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
DeepSeek Harness Delegation this skillCherryHQ/cherry-studio52k—~359Automated safety check: PassAGPL-3.0
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
O2 Review Loopopenobserve/openobserve22k—~3.7kAutomated safety check: PassAGPL-3.0
Harness Agent Team Designerrevfactory/harness9.1k—~4.5kAutomated safety check: PassApache-2.0
ClawTeam Multi-Agent Swarmwin4r/ClawTeam-OpenClaw1.5k1 repos~2.9kAutomated safety check: PassMIT
Sub-Agent Delegationcodewhale-hq/Codewhale41k—~790Automated safety check: PassMIT

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Works with

Categories

Questions about DeepSeek Harness Delegation

What does DeepSeek Harness Delegation do?

Hands a bounded repository task to the DeepSeek Harness CLI (dsh) in headless mode, then checks the exit code and the diff before reporting back. When you ask to delegate analysis or implementation to DeepSeek Harness, the agent runs it through the `dsh` command in its headless profile. It first points the shell at the project you named, sets a finite timeout of normally 10 minutes, and confirms that `dsh` exists, stopping to ask you to install it in Code Mate if it does not.

When should I use DeepSeek Harness Delegation?

DeepSeek Harness Delegation fits situations like: handing a bounded analysis task to DeepSeek Harness instead of doing it yourself; getting a second opinion on a failing test from DeepSeek Harness; delegating a scoped implementation change inside one project.

How do I install DeepSeek Harness Delegation in Claude Code?

Run `npx skills add CherryHQ/cherry-studio --skill code-mate-deepseek-harness -a claude-code`. Or copy the skill folder (resources/code-cli-skills/code-mate-deepseek-harness in CherryHQ/cherry-studio) into .claude/skills/code-mate-deepseek-harness in your project. Claude Code loads it when a task matches its description.

How do I install DeepSeek Harness Delegation in Codex?

Run `npx skills add CherryHQ/cherry-studio --skill code-mate-deepseek-harness -a codex`. Or copy the skill folder (resources/code-cli-skills/code-mate-deepseek-harness in CherryHQ/cherry-studio) into .agents/skills/code-mate-deepseek-harness in your project. Codex loads it when a task matches its description.

Can I use DeepSeek Harness Delegation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CherryHQ/cherry-studio --skill code-mate-deepseek-harness -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/code-mate-deepseek-harness, .gemini/skills/code-mate-deepseek-harness, .github/skills/code-mate-deepseek-harness and .opencode/skills/code-mate-deepseek-harness in your project.

What does DeepSeek Harness Delegation need to run?

SKILL.md names no scripts, command-line tools or credentials: DeepSeek Harness Delegation is instructions for the agent only. Our summary lists: The dsh command (DeepSeek Harness installed through Code Mate); Provider and model already configured in Code Mate.

Does DeepSeek Harness Delegation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is DeepSeek Harness Delegation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does DeepSeek Harness Delegation use?

DeepSeek Harness Delegation is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does DeepSeek Harness Delegation use?

About 359 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to DeepSeek Harness Delegation?

Skills that share tags, products or a category with DeepSeek Harness Delegation: Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars), Harness Agent Team Designer (revfactory/harness, 9.1k stars) and ClawTeam Multi-Agent Swarm (win4r/ClawTeam-OpenClaw, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains DeepSeek Harness Delegation?

CherryHQ (a GitHub organization) maintains it in CherryHQ/cherry-studio, which has 52,407 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 7, 2026.

Source: CherryHQ/cherry-studio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.