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Claude Science-style research workbench for DeepSeek Harness: ReAct research-loop engine (research_* tools), versioned artifacts with provenance (artifact_* tools), SSH remote-compute engine for long bioinformatics jobs on workstations/HPC (remote_* tools), and 11 science skills for genomics / pathogens / bioinformatics. Ships the tiered cross-provider model router via the companion dsh-model-tier bundle.
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A reproducible science workbench plugin for the DeepSeek Harness: agent-driven cells, inline figures with feedback/rerun, manifest provenance, and environment snapshots.
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Zero-dependency scientific computing tools for DeepSeek Harness: physical-unit conversion, CODATA physical constants, and Runge-Kutta ODE/dynamical-system simulation. No core changes.
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AI-driven partial wave analysis for DeepSeek Harness: physics-gated config editing, ctpwa fit execution, numeric evaluation, and goal-driven iterative convergence. Physics knowledge (PDG-2026) as pure functions; DSH integration as a thin pwa_* tool plugin.
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科学技能包:100+ 科学数据库查询(PubChem/UniProt/ClinicalTrials/FRED…)、文献综述与证据有界假设生成、实验方案设计、同行评审回复、基金写作、方法验证(ICH/USP/CLSI)、论文级图表。受 K-Dense-AI/scientific-agent-skills(33.9k★ MIT)启发。
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AI-for-Science research workflow skill bundle for DeepSeek Harness: multi-angle literature review with per-angle files, anchored experiment design with a caveat list, figures, paper reading; cross-verification briefs.
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Agent-agnostic skill that turns task input files into reusable structural briefs and a per-task searchable index (OpenAI Codex, Claude Code, DeepSeek Harness)
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DSH plugin: laboratory PI for local Wisp Science projects. Read-only snapshots, evidence-backed advice, no fake experiments. / 实验室 PI:只读查看本机 Wisp Science 课题进展,按快照给意见,不编造实验。
wisp-science