evaluation 8

Evidence-first multi-model coding comparison workbench for DeepSeek Harness

Controlled A/B comparisons and evidence-backed reports for DeepSeek Harness plugins and presets.

Check which DeepSeek Harness plugins actually loaded, and look up public evaluation boards on trapstreet.run

Plugin value auditor for DeepSeek Harness: judge a plugin before install and audit installed ones — heuristic scan + LLM judge, with model-switch re-audit reminders. · DSH 插件价值裁判：装前判断值不值得装，装后审计是否还该留，模型切换时提醒复核。

DSH web plugin: a LiveBench tab in the Trajectory view (right of 对话/轨迹). Run LiveBench evaluations against every model configured in the DeepSeek Harness — pick provider/model, category, task, release and question range from dropdowns, watch progress, and

DSH 试金石：给「自改造」补上评测这一环——用一套金标准用例，把改动前 vs 改动后跑一遍、打分、对比，好就留、不好就撤。

Measure whether a dsh setup change actually helped: register repeatable cases, run them, and diff the results before and after you change rules, skills, or models.

DSH 插件：同一任务、同一代码基线，多 Variant（模型/Preset）并行对照实验、EvidenceReceipt 对比与胜出 Patch 导出