dsh-bioinf
适用于 DeepSeek Harness 的生物信息学技能路由插件：提供大型技能库的可搜索索引、anysearch 网络搜索提供程序、remote-exec 工具，以及有关文献综述、生物数据分析和远程培训的场景指导
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:gsh150801/dsh-bioinf#ca6ae3b04fe3090b972f8abb8801a0f2a632545cBioinf 以 dsh-bioinf 发布，当前版本为 0.1.0。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
点击下方 Badge 复制 Markdown，粘贴到 README 即可。
验证 package.json 声明的 GitHub 仓库，即可管理这个公开页面。认领后，Hub 会优先安排当前版本的安全扫描，并在通过后公开展示结果。
认领这个 Plugin →Bioinformatics skill router plugin for DeepSeek Harness.
Solves one core problem: a curated library of 986 bio-skills cannot be published as a flat per-session catalog (~230 KB / 60–80k tokens of prompt per session). This plugin replaces the catalog with search-based routing:
| Component | What it does |
|---|---|
skill_search tool | BM25-style scoring (idf-weighted fields: name ×6, category ×2, whenToUse ×1.5, description ×1) with CJK bigram support — Chinese and English queries both work. Returns top-k matches with exact names + categories. <10 ms per query over the full library. |
skill_categories tool | Category tree (15 top-level categories, counts, sub-categories) for domain browsing. |
bioinf-library skill provider | Registers all 986 skills into ctx.skills so the native skill tool loads bodies on demand (normalized kebab-case names; strips HTML provenance comments; guaranteed descriptions). |
dsh-bioinf-anysearch (sibling row) | Registers an [anysearch] WebSearchProvider into ctx.web — powers the native web_search tool. Separate row because headless profiles mount no web seam. |
remote_exec tool (opt-in) | SSH execution on a configured GPU/train server: nvidia-smi, nohup training, log polling, prediction. Registered only when remote.host/remote.user are set. |
| Guidance prompt section | Routing rules ("never guess a skill name") + three scenario playbooks: (A) literature deep-review with falsifiable hypotheses, (B) bio-data retrieval/analysis, (C) remote training/prediction. |
Pair with @deepseek-ai/dsh-tool-skill config catalog: off (see ~/.dsh/profiles/bioinf/cordis.patch.yml).
- insert:
- id: bioinf
name: 'file:///D:/projs/bioinf_agent/deepseek-harness/packages/examples/dsh-bioinf/lib/index.js'
config:
skillsIndexFile: 'D:/projs/bioinf_agent/skills_meta/_dsh_index.json'
- id: bioinf-anysearch
name: 'file:///D:/projs/bioinf_agent/deepseek-harness/packages/examples/dsh-bioinf/lib/anysearch-plugin.js'
config:
apiKey: '...'
- id: tool-skill
name: '@deepseek-ai/dsh-tool-skill'
config:
catalog: off
skillsIndexFile points at a JSON array (build script: D:/projs/bioinf_agent/tools_scan/build_index.py,
inventory: validate_skills.py):
[{"name":"scanpy","dir":"scanpy","cat1":"细胞组学与组学整合场景","cat2":"单细胞与转录组分析",
"cat3":"scanpy","description":"...","whenToUse":"...","requirements":["pip install scanpy"],
"hasScripts":false,"nScripts":0,"bodyChars":1234,"path":"D:/.../scanpy/SKILL.md"}]
pnpm run build:lib:host # rebuilds lib/ (tsc project graph + tsdown)
pnpm exec vitest run packages/examples/dsh-bioinf/tests/
Unit suites (36 tests, no harness boot): bioinf.spec.ts (index/tokenizer/body
extraction/anysearch), scenarios.spec.ts (scenario A literature→hypothesis routing +
skill-load chain; scenario B data-source routes + category tree + ssh argv),
perf.spec.ts (measurement-based guardrails: per-step model-visible payload,
cold/cached index load).
The package follows repo conventions: tsconfig.json in the tsc -b graph (referenced from the
root tsconfig.host.json) and a local tsdown.config.ts with entries index, anysearch-plugin,
search, anysearch.