# dsh-plugin-mlquant-benchmark — DeepSeek Harness plugin install manifest

> Generated: 2026-09-17 22:16 · Source: https://deepseekmodel.com/plugins

## Overview

DSH tools for reproducing and validating the ml-quant-trading protocol v1 CPU benchmark, then drafting an issue-ready report. Requires a local clone of initial-d/ml-quant-trading (set as the workspace or repoPath) plus Python and PyTorch; this plugin does not fetch the repository or install its dependencies.

## Plugin info

| Category | Maintainer | GitHub stars | License | Primary language | Last push |
| --- | --- | --- | --- | --- | --- |
| Tools & Capabilities | initial-d | 3 | — | — | — |

## Install

```bash
dsh plugin --profile web add github:initial-d/dsh-plugin-mlquant-benchmark
```

## Steps

1. Install and start DeepSeek Harness (DSH, MIT-licensed open-source agent runtime) — `npx @deepseek-ai/dsh web`
2. Run the command above; the CLI resolves the plugin and verifies its source
3. Confirm with dsh plugins list; restart Harness if needed

> To pin a revision, append #commit to the repository spec.

## Audit before installing

Plugins run with your dsh process permissions and may execute code during installation. Read the repository source and license first, check for destructive commands or excessive access, and pin a commit hash for reproducible installs. This manifest is compiled by DeepseekModel from a public plugin catalog for reference only and does not vouch for third-party plugins.

---

- Repository: https://github.com/initial-d/dsh-plugin-mlquant-benchmark
- Plugin page: https://deepseekmodel.com/plugin-detail?id=initial-d%2Fdsh-plugin-mlquant-benchmark
- Source: https://deepseek-harness-plugin.com/zh-CN/plugins/ · Generated 2026-09-16