Bundle
dsh-biomemory
cross-session memory for DeepSeek Harness v0.9.2：跨会话记忆（分层记录 · 分级审批 · 记忆代谢 · 结构化审计 · 纯本地 SQLite）。
KLRSL6
Browse
10 results
Bundle
@dsh-bio/dsh-bio-genie
生物信息学「许愿式分析」插件：Python 执行器（bio_python：Biopython 全功能 + 出版级绘图）+ 49 个高频语义化工具（差异表达/GSEA、代谢建模/FBA、合成生物学设计、CRISPR、ML、文献检索等）+ 49 个 skill（1 主 skill + 17 领域配方 + 17 协议 + 5 研究方法 + 8 agent 指南）+ 零依赖自举 Python 环境（uv+venv 自动下载到插件私有目录）。用户下载安装即可许愿式分析。
moonbowterfly2
Bundle
dsh-biomni
DSH plugin: a persistent, per-session Python interpreter provisioned with Biomni's biomedical tool library, plus a Settings section that reports what the interpreter can actually do.
ZhuYanTech1
Agent preset
dsh-bioinfo
生信模式 (Bioinformatics Mode) — research-grade protein structure & interaction agent preset for DeepSeek Harness: AF2-Multimer, ESMFold, AutoDock Vina, MM-GBSA/MD, structure QA, virtual screening.
Paraso42
Bundle
dsh-bioinf
Bioinformatics skill router plugin for DeepSeek Harness: searchable index over a large skill library, an anysearch web-search provider, remote-exec tooling, and scenario guidance for literature review, bio-data analysis, and remote training
gsh150801
Bundle
dsh-biotech-terms
生物技术术语
uckkk
Bundle
@dsh-bio/dsh-bio-graft
基因编辑设计插件：sgRNA 候选枚举 + 评分向量（不打综合分）+ Cas-OFFinder 脱靶扫描（BSD-3）+ EditPlan 可审计账本 + 风险分级门控 | CRISPR / gene-editing design specialty plugin for dsh
moonbowterfly
Bundle
@dsh-bio/dsh-bio-gem
基因组尺度代谢模型（GEM）构建插件：输入细菌全基因组（蛋白FASTA，支持多质粒/多染色体），自动构建+验证+补洞+出报告（SBML + 模型卡），供 dsh-bio-genie 消费工具加载使用 | Genome-scale metabolic model builder for dsh
moonbowterfly
Bundle
@dsh-bio/dsh-bio-galatea
蛋白质结构预测与设计插件：序列设计（ProteinMPNN/SolubleMPNN/LigandMPNN）、结构预测（ESMFold）、复合物界面筛选、序列理化打分与多样性聚类——零手动自举（本地 CPU/GPU 自适应），供 dsh-bio-genie 消费 | Protein structure prediction & design toolkit for dsh (sequence design, folding, interface screening)
moonbowterfly
Bundle
@dsh-bio/human-microbiome-function-mining
DeepSeek Harness plugin for human microbiome function discovery. Turns a target enzyme, EC number, or substrate/product reaction into candidate discovery, literature-aware evidence integration, and experimental design.
Liuyixin-lily