dsh-science
适用于 DeepSeek Harness 的 Claude Science 风格科研工作台:包含 ReAct 科研循环引擎、带溯源的版本化产物工具以及 10 种生物信息学等科学技能。
AI 分析
核心用途是为基因组学、病原体和生物信息学研究提供科研工作台与实验循环管理。适合进行科学研究与文献分析的科研人员。必要条件为 Node.js >= 18,通过 DSH 插件系统安装。
安装
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:biociao/dsh-science说明文档
阅读完整 README ↗dsh-science
A Claude Science–style research workbench for DeepSeek Harness — for genomics / pathogens / human health / bioinformatics projects.
One-liner: dsh-science — Claude Science-style research workbench for DSH: ReAct research-loop engine (research_* tools), versioned artifacts with provenance (artifact_* tools), and 10 science skills for genomics / pathogens / bioinformatics.
- ReAct research loop engine —
research_init/research_state/research_hypothesis/research_experiment/research_findings/research_phase/research_review/research_report, persisted in aresearch-manifest.jsonstate machine (Question → Hypothesis → Experiment → Observe → Analyze → Conclude → Next Question). - Versioned artifacts with provenance —
artifact_save/artifact_list/artifact_show/artifact_diff/artifact_verify/artifact_deprecate/artifact_reproduce: every result saved asartifacts//v/with per-file SHA-256,artifact.jsonprovenance (command / inputs / environment / envFile) and an append-onlyprovenance.md. - 10 science skills — research-loop, science-project-setup, artifact-provenance, scientific-reviewer, literature-connector, parallel-delegation, manuscript-writing, bioinformatics-toolkit, conda-environments, data-inventory.
Both engine plugins are zero-dependency (Node built-ins only, sharing engines/core.mjs) and register plain cordis tools. Installable either as a profile bundle (dsh plugin add) or as an agent preset (科学模式).
v0.1.1 hardening (robustness update)
- Concurrency-safe state: all manifest/artifact writes go through a lightweight file lock (O_EXCL + stale reclaim) and atomic tmp+rename — parallel subagents can no longer corrupt or lose updates on
research-manifest.json/artifacts.json. - Structured error codes (
ERR_NOT_INIT/ERR_NOT_FOUND/ERR_VALIDATION/ERR_PATH/ERR_QUOTA/ERR_LOCK_TIMEOUT/ERR_IO) instead of opaque strings. - Hypothesis state machine (proposed → testing → supported/refuted/inconclusive) and forward-only phase transitions (rewind requires config).
- manifest ↔ artifacts linked:
research_statemerges the artifact index;artifact_savewrites back to the manifest. - Manifest schema v1→v2 migration on load, persisted on next write.
- Artifact upgrades: streaming SHA-256 (big files), identical-content dedup via hardlink,
artifact_diff/artifact_verify/artifact_deprecate, envFile + input hashes in provenance. - Structured JSON outputs (
research_report,artifact_diff,artifact_verify) and an audit log at/.science.log.
Install
Option A — profile bundle (community standard)
dsh plugin --profile web add dsh-science # after npm publish
# or straight from GitHub:
dsh plugin --profile web add "github:biociao/dsh-science"
Restart the profile (or refresh the Web GUI). The bundle inserts the two engines
into the profile layer stack; the research_* / artifact_* tools become
available to every agent on that profile.
Option B — agent preset (full 科学模式 experience, per-agent)
git clone https://github.com/biociao/dsh-science ~/.dsh/.agent-presets/science
# or from a local checkout:
bash scripts/install.sh # copy (or: bash scripts/install.sh link)
Then create a session in the DSH Web GUI and pick the 科学模式 preset — the preset carries the research persona + engines with per-agent scoping.
Skills
The 10 skills are discovered automatically from a project's .dsh/skills/
(drop this repo's skills/ into your project), or install them machine-wide:
bash scripts/install-skills.sh # -> ~/.dsh/skills (respects $DSH_HOME)
Quick start (first session)
research_init— createresearch-manifest.json+ the project skeleton (experiments/ literature/ artifacts/ analyses/ figures/ manuscript/ reviews/ data/ envs/).- Read
research_stateat the start of every session; the loop state persists across sessions. - Run the loop:
research_hypothesis(H1/H2/…) →research_experiment(E01/…, createsexperiments//{design.md,log.md,code/,results/}) → run code →research_findings(appends to log.md, updates hypothesis status, advances the loop) →artifact_savefor anything worth citing or reproducing. - For key claims: extract the claim, have a review subagent check it against the
execution records (see the
scientific-reviewerskill), archive withresearch_review(writesreviews/R0n/report.md).
Repository layout
dsh-science/
├── package.json # dsh.bundle.patch -> ./cordis.patch.yml (+ exports)
├── cordis.patch.yml # bundle patch: inserts the two engines by subpath export
├── engines/ # canonical engine sources (bundle form)
│ ├── core.mjs # shared core: locks, atomic writes, error codes, streaming sha256, structured tools, audit
│ ├── research-loop.mjs
│ └── artifact-registry.mjs
├── preset/ # agent-preset form (mirrors engines/ via sync-engines.sh)
│ ├── agent.cordis.yml # references ./engines/*.mjs (relative, preset mount)
│ ├── preset.yml
│ └── engines/ # mirror — keep in sync: bash scripts/sync-engines.sh
├── skills/ # 10 SKILL.md skills
├── scripts/
│ ├── install.sh # install preset -> ~/.dsh/.agent-presets/science
│ ├── install-skills.sh # install skills -> ~/.dsh/skills
│ ├── sync-engines.sh # mirror engines/ -> preset/engines/
│ ├── init-project.sh # project skeleton without a science session
│ ├── smoke-test.mjs # 62 checks against a temp workspace (node >= 18)
│ └── stability-test.mjs# 25 concurrency/atomicity/stress checks (locks, lost-update, soak, migration)
└── test/verify-bundle.sh # isolated end-to-end bundle install + boot check
Verification
node scripts/smoke-test.mjs # engine logic + end-to-end loop + error codes + migration
node scripts/stability-test.mjs # concurrency / atomicity / lock / stress stability checks
bash test/verify-bundle.sh # pnpm pack -> isolated profile -> install -> boot check
All are part of the release checklist and are safe to run in CI (both test scripts
write only to a temp workspace; the bundle test uses an isolated $DSH_HOME).
FAQ
Why subpath exports and not relative paths in the bundle?
dsh plugin add installs the package into the profile and its cordis.patch.yml
rows join the profile composition. The profile loader resolves a row name
relative to the profile directory (not the package), so ./engines/x.mjs
fails with ERR_MODULE_NOT_FOUND. Referencing dsh-science/engines/x.mjs
(subpath export, exports in package.json) resolves from the profile's
node_modules and works — verified experimentally on dsh 0.1.0-rc.6.
The agent-preset mount, by contrast, resolves relative names from the preset
directory, which is why preset/agent.cordis.yml can use ./engines/*.mjs.
Bundle or preset — which should I use?
- Bundle: tools available to every agent on the profile; one command to install.
- Preset: the full 科学模式 experience (research persona, per-agent scoping).
The persona row in
cordis.patch.ymlis commented out because a profile-wide persona would apply to all agents — uncomment it before publishing if that is what you want.
Where do the skills come from?
A project's .dsh/skills/ is auto-discovered; scripts/install-skills.sh puts
them machine-wide in ~/.dsh/skills (respecting $DSH_HOME).
Development
Branching model & release workflow (main = release, dev = integration, feat/* = features,
tag-triggered npm publish + GitHub Release via Actions): see
docs/branching.md.
bash scripts/sync-engines.sh # after editing engines/*.mjs — keeps preset/engines in sync
node scripts/smoke-test.mjs # logic + static package checks
node scripts/stability-test.mjs # concurrency / atomicity / lock stability checks
bash test/verify-bundle.sh # end-to-end bundle install + boot
Workspace-isolation patch — DSH's New Session used to fall back to the most
recently used Workspace, letting automation spawn sessions into unrelated
projects. scripts/patch-session-isolation.mjs applies the one-line guard
(idempotent, backs up first; re-apply after every dsh upgrade). See
docs/workspace-isolation.md.
node scripts/patch-session-isolation.mjs apply # idempotent, backs up first
node scripts/patch-session-isolation.mjs status # check current state
node scripts/patch-session-isolation.mjs revert # restore pristine file
Community
- Topic: github.com/topics/dsh-plugin
- Curated lists: awesome-dsh-plugin · awesome-deepseek-harness
License
MIT — see LICENSE.