dsh-autoresearch: DeepSeek Harness Bounded Metrics Auto-research Plugin

`dsh-autoresearch` is a plugin for DeepSeek Harness designed to achieve automatic evaluation and screening of candidate modifications. Its core mechanism involves establishing a baseline under fixed metrics and determining whether to keep or revert candidate modifications using bounded keep/reject strategies. The plugin executes the optimization loop within an isolated Git worktree, utilizes SQLite to persist run, experiment, and trial records, and supports a failure shutdown recovery mechanism. Its key features include: using a single scalar metric to strictly determine minimization or maximization; relying on the trusted evaluator identity provided by the Host (such as commands, datasets, etc.) to prevent the proposal model from tampering with the evaluation environment; limiting the scope of writable paths via mutable_globs; and defaulting to using dsh-job...