initial-d/dsh-plugin-mlquant-benchmark

README 摘要

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 size, repetitions, and thread counts; - JSON artifact suitable for automated checking; - public issue template for DeepSeek Harness benchmark reports; - explicit boundary that benchmark throughput is not trading performance. Challenge: can DeepSeek Harness reproduce a quant benchmark end to end, preserve the evidence bundle, and avoid turning runtime numbers into alpha claims? Tools This package registers four DSH tools: Tool Purpose mlquant benchmark v1 cpu Run the fixed protocol v1 CPU benchmark and write artifacts/benchmark-v1.json . mlquant read benchmark json Read the JSON artifact and r…

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