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deepseek-harness-zh-cn

Deepseek Harness Zh Cn

面向中文的 DeepSeek Harness 插件:默认使用简体中文进行推理和回答。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add deepseek-harness-zh-cn@0.1.5
README兼容性版本
Screenshot 1Screenshot 2

兼容性与来源证明

Deepseek Harness Zh Cn 以 deepseek-harness-zh-cn 发布,当前版本为 0.1.5。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
any
发布来源
npm
Registry 更新时间
2026/11/6

版本

0.1.5stable
2026/10/19
最新版
0.1.5
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
22.5 kB
文件数
7
Surface
any
许可证
Apache-2.0
发布源
npm
GitHub
★ 0
周下载
699
安全扫描
✓ v0.1.5 扫描通过
查看源码 ↗项目主页 ↗
README Badge

点击下方 Badge 复制 Markdown,粘贴到 README 即可。

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报告问题

README

deepseek-harness-zh-cn

English | 简体中文

A Chinese-first plugin that makes DeepSeek Harness reason (reasoning) and answer in Simplified Chinese by default.

Overview

This project offers two ways (choose one; the first is recommended) to turn your DSH's reasoning and output into Simplified Chinese, so Chinese-speaking users can read the trajectory and processing directly without translation overhead:

  • Method 1 (recommended, simplest): copy AGENTS.md.example to ~/.dsh/AGENTS.md.
  • Method 2 (plugin): install this package from npm and mount it in the profile.

Tip: this plugin's "Chinese-first" rules can also be achieved with the keep-reminder plugin — put the same rules into a project's .keep-reminder file, and customize the content freely (not limited to language).

Screenshot

Screenshot 1 Screenshot 2

Quick Start

Method 1: Copy AGENTS.md (recommended)

Copy AGENTS.md.example to the DSH home directory as AGENTS.md:

  • Linux / macOS: ~/.dsh/AGENTS.md
  • Windows: C:\Users\<you>\.dsh\AGENTS.md
# Linux / macOS
cp AGENTS.md.example ~/.dsh/AGENTS.md

On Windows, copy the file manually. Then restart dsh web (or start a new session).

Method 2: Install the npm plugin

A. Official command (backs onto pnpm; install pnpm first):

npm i -g pnpm
dsh plugin --profile web add deepseek-harness-zh-cn

B. Install with npm directly into the profile directory:

cd ~/.dsh/profiles/web    # Windows: C:\Users\<you>\.dsh\profiles\web
npm install deepseek-harness-zh-cn --save

Note: this npm install runs inside the DSH profile directory, not this plugin's project directory.

Mount it in ~/.dsh/profiles/<name>/cordis.patch.yml:

- insert:
    - id: dsh-zh
      name: 'deepseek-harness-zh-cn'

Restart dsh web.

Scope and Limitations

  • Affects both the model's final answer and its reasoning (thinking) channel.
  • There is no harness or DeepSeek API switch that forces the reasoning language; on technical tasks the model's reasoning_content may still be English. A fully Chinese prompt maximizes the probability but does not guarantee it.

How It Works

  • Method 1: ~/.dsh/AGENTS.md is injected by dsh-agent-instructions as a <system-reminder> user message — guidance-level, lower priority than the system prompt and direct user instructions.
  • Method 2: the plugin listens to the agent/pre-step waterfall and appends a <system-reminder> user message to the request batch at the first step of each turn, reinforcing the Chinese rule once per turn.

Development

Build

npm install
npm run build      # compiles src → lib/index.js

Mount locally

During development you can mount the compiled output directly via a file:// URL, with no package install. Edit ~/.dsh/profiles/<name>/cordis.patch.yml:

- insert:
    - id: dsh-zh
      name: 'file:///D:/ui-workspace/deepseek-harness-zh-cn/lib/index.js'

Adjust the URL to your checkout path.

Restart

npx @deepseek-ai/dsh web

Stop the running service first if it is already up.

Verify

# Windows
npx @deepseek-ai/dsh web --dump-config | findstr /C:"dsh-zh"

# Linux / macOS
npx @deepseek-ai/dsh web --dump-config | grep dsh-zh

Seeing the dsh-zh row means the plugin is mounted. Then start a new session and the model should reason and answer in Simplified Chinese.

Disclaimer

This project only injects a language directive; it does not modify model weights or the inference logic. The actual output language still depends on the selected model's behavior, and this project is not responsible for results where the model fails to follow the Chinese directive.

License

Apache-2.0