DeepSeek Harness Plugin

initial-d/dsh-plugin-mlquant-benchmark

Category Tools & Capabilities Added 2026-08-23

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.

Install

# from a prebuilt release tarball

dsh plugin --profile web add "https://github.com/initial-d/dsh-plugin-mlquant-benchmark/releases/download/v0.1.0/dsh-plugin-mlquant-benchmark-0.1.0.tgz"

# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)

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

Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time — pnpm blocks those until you allow them, so an install can stop with ERR_PNPM_GIT_DEP_PREPARE_NOT_ALLOWED or ERR_PNPM_IGNORED_BUILDS; dsh prints the exact key to add under allowBuilds in your profile’s pnpm-workspace.yaml, and the install works on the next run. Allowing a build is a trust decision: only install sources you trust, and pin a commit (github:owner/repo#sha).

Links

GitHub repository ↗ Install via dsh-market ↗

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