dsh-council

1. 安装并启动 DeepSeek Harness：npx @deepseek-ai/dsh web
2. 在终端执行上面的安装命令（CLI 会解析插件并核验来源）
3. 用 dsh plugins list 确认已安装，必要时重启 Harness 生效

插件以当前 dsh 进程的权限运行，安装时可能执行代码。请先通读仓库源码与许可证，确认无破坏性命令与越权访问；本站只做索引，不对第三方插件安全性作担保。

事实信息来自公开插件目录快照（2026-10-01），介绍文案由本站再加工。

以下为插件仓库 README 全文（原始内容，由公开目录抓取整理）。

English · 简体中文

DSH Council

Independent answers. Anonymous reviews. One reasoned decision.

Multi-model deliberation inside DeepSeek Harness.

[图片: DSH plugin]

[图片: Strict TypeScript]

[图片: Node.js 22.19+ or 24+]

[图片: English and Chinese]

Installation · How it works · Configuration · Contributing

https://github.com/user-attachments/assets/e81dfa36-5d93-4efb-8c67-015a5e4d2179

---

## How it works

01 · Answer

2–8 models respond independently in parallel.

02 · Review

1–8 reviewers compare anonymous answers, identify gaps, and rank them.

03 · Decide

One arbiter weighs the answers and reviews to produce a final recommendation.

Your models. Use configured DSH providers and credentials. Choose models separately for each role, with reuse across roles. English and Chinese follow DSH's language setting.

Inspectable results. Confidence notes, consensus, disagreements, blind spots, model identities, and average rankings. Original answers and reviews remain in DSH's child sessions.

## Installation

### 1. Install DSH

Install [DeepSeek Harness (dsh)](https://www.deepseek.com/harness/) by following the official installation guide.

### 2. Install DSH Council

Node.js
pnpm
DeepSeek Harness

^22.19.0 || >=24.0.0
11.7.0
At least two configured, authenticated models

Install the prebuilt package from npm:

```sh
npx --yes @deepseek-ai/dsh@latest plugin --profile web add @a1exsun/dsh-council@0.1.0
npx --yes @deepseek-ai/dsh@latest web
```

Restart DSH Web if it is already running.

No source checkout or compilation is required. See [Contributing](CONTRIBUTING.md) for development setup.

## Usage

Enter this command in a DSH Web conversation:

```text
/council
```

Choose your panel

Select answerers, reviewers, and an arbiter. Selections apply to one run.

Ask your question

Each participant starts with fresh context. Include the information it needs in your question.

Example question

> Compare PostgreSQL leasing with a managed message queue for three workers. Explain how each recovers when a worker crashes after an external side effect but before acknowledging the job. Recommend one design and state its assumptions.

Cost

4–17 model participants per run. Each may make multiple requests and use Web tools.

Privacy

Your question and intermediate answers go to selected providers. See Security.

Accuracy

Model agreement does not guarantee correctness. Review the evidence and confidence notes.

## Need more AI models?

[图片: CodeBestie — explore more model providers. Register with invitation code RA3Z7CMJW2SS.]

## Configuration

Defaults and overrides

The defaults work without additional configuration. To adjust limits, set `config` on the `dsh-council` entry in your DSH profile:

```yaml
- id: dsh-council
  config:
    answerMaxTokens: 16384
    reviewMaxTokens: 16384
    arbiterMaxTokens: 16384
    childTimeoutMs: 300000
    runTimeoutMs: 900000
    subagentProvider: spawn
```

Token limits apply per model request. Timeouts are in milliseconds; `runTimeoutMs` must be at least `childTimeoutMs`.

## Contributing

Development setup · Tests · Bug reports →

## Acknowledgements

Thanks to Andrej Karpathy for llm-council, which inspired this project.

Review dimensions also draw on OpenRouter Fusion.