dsh-plugin-mlquant-benchmark
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
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
Meta
- License
- MIT
- Language
- JavaScript
- GitHub stars
- 3
- mo. downloads
- –
- Last push
- 2026-08-24
- Created
- 2026-08-20
Links
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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