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dsh-plugin-mlquant-benchmark

DeepSeek Harness Tools & Capabilities Low risk

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.

用于复现并校验 ml-quant-trading protocol v1 CPU 基准测试,并生成可提交 issue 报告的 DSH 工具。需要本地 clone initial-d/ml-quant-trading,并将其设为 workspace 或 repoPath,同时自行准备 Python 和 PyTorch;本插件不会获取仓库或安装依赖。

How to install

DeepSeek Harness dsh plugin add github:initial-d/dsh-plugin-mlquant-benchmark

About

dsh-plugin-mlquant-benchmark DeepSeek Harness tools for reproducing the initial-d/ml-quant-trading protocol v1 CPU benchmark. The point is narrow: make a DSH agent able to run the existing benchmark, read the machine-readable artifact, validate it against the benchmark protocol, and draft an issue-ready report. This plugin does not add a trading agent, does not call market data APIs, and does not configure any model provider. Why this exists ml-quant-trading is a good reproducibility target for agent harnesses: deterministic synthetic benchmark input; fixed protocol v1 command, seed, panel siz…

Recommendation signals

47 Tool quality · Based on stars, downloads, maintenance, security and docs
User interest · Adjusted by in-site views, install copies and download clicks
47 Overall
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Meta

License
MIT
Language
JavaScript
GitHub stars
1
mo. downloads
Last push
2026-08-24
Created
2026-08-20

Links

GitHub ↗ Report issue ↗

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics
benchmark, deepseek-harness, dsh-plugin, mlquant, pytorch, quantitative-finance, reproducibility

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