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dsh-sci

已验证 · 实测可装 Blaczz

✓ 持续维护 基于 2 个官方 DSH 包 纯 TypeScript

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TypeScript语言
2026-08-14最近推送
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功能简介

零依赖科学计算工具:单位转换、物理常数、龙格库塔ODE

✅
我们的评价
可用 — 实测通过,早期项目

零依赖科学计算工具:单位转换、物理常数、龙格库塔ODE 实测能干净安装、正常启动。早期项目,但功能可用。

「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。

README

dsh-sci 🔬

Zero-dependency scientific computing tools for DeepSeek Harness: physical-unit conversion, CODATA physical constants, and Runge–Kutta ODE/dynamical-system simulation. No core changes.

English | 简体中文

A DeepSeek Harness (DSH) pure tool plugin registering three model tools that scientists reach for daily — all implemented as zero-dependency pure functions: no network, no external software, fully unit-tested.

Tool Purpose Example
units_convert Physical unit conversion (length/mass/time/temperature/energy/pressure/frequency/force/angle/volume/area/electric, 70+ units) 1 eV → J, 0 ℃ → K, 1 kWh → J
physical_constants Look up CODATA physical constants (c, h, e, k, G, N_A, …) physical_constants("h")
ode_solve 4th-order Runge–Kutta integration of common dynamical systems (the simulation engine) exponential / logistic / harmonic / damped / pendulum / predator-prey / SIR / Lorenz / Van der Pol

✨ Features

  • Zero dependencies: unit conversion, physical constants, and the RK4 integrator are hand-written pure functions — no runtime node_modules, no network.
  • Safe simulation: ode_solve uses a curated model library (9 dynamical systems) with parameters, not arbitrary code execution — safe for the model to call.
  • Verified accuracy: the RK4 integrator is checked against analytic solutions (e^-t, cos t) in unit tests.
  • Zero core changes: pure ctx.tools.register, no client bundle.

📦 Install

Prereqs: DSH (dsh web works), Node ≥ 22.19, pnpm.

# From GitHub (prebuilt lib/ committed)
dsh plugin --profile web add "github:Blaczz/dsh-sci#main"

# Local directory
cd dsh-sci && npm install --legacy-peer-deps && npm run build
dsh plugin --profile web add ./dsh-sci

Restart dsh web after install, then ask the agent: "convert 5 eV to joules", "look up the Planck constant", or "simulate a damped oscillator with ω=2, ζ=0.1 out to t=20".

🔬 Usage

User: simulate the Lotka-Volterra predator-prey model, alpha=1, beta=0.1, gamma=1, delta=0.02, to t=50
agent → ode_solve(model="lotka-volterra", params={...}, tEnd=50)
       → returns the time series + final state [prey, predator]

User: how many joules is 1 electron-volt?
agent → units_convert(value=1, from="eV", to="J") → 1.602176634e-19

User: list all physical constants
agent → physical_constants() → c, h, e, k, G, N_A, … all

🛠️ Development

npm install --legacy-peer-deps
$env:DSH_NODE_MODULES = "$env:USERPROFILE\.dsh\profiles\node_modules"
npm run setup:dsh-workspace
npm run verify                          # ★ one-shot gate: clean + typecheck + test + build
npm test                                # vitest (24 tests: units / constants / ODE accuracy + manifest)

Layout

dsh-sci/
├── package.json            # dsh.bundle.patch (pure tool plugin)
├── cordis.patch.yml        # bundle patch layer
├── scripts/                # build (tsc only) / clean / setup-dsh-workspace / verify
├── src/
│   ├── units.ts            # ★ unit conversion (70+ units, dimension + factor + offset)
│   ├── constants.ts        # ★ CODATA 2018 physical constants
│   ├── ode.ts              # ★ RK4 integrator + 9-model dynamical-system library
│   └── index.ts            # host half: registers the 3 tools
└── tests/                  # units / constants / ode / manifest

🧩 Ecosystem positioning

  • Fills a gap: the DSH ecosystem previously had zero physics / ode / numerical / fft plugins, and the units hits were all "unit-test / unit-economics" false positives — no physical unit conversion. The existing dsh-science projects are reproducible Python/R workbenches (not numerical tools), and dsh-robotic-harness is MuJoCo robotics (a heavy dependency).
  • Technical route: follows the zero-dependency pure-tool pattern of omdsh-dev/dsh-tool-*, with pure functions under test.
  • Zero core changes: pure ctx.tools.register, no external software, no network.

⚖️ License

MIT © 2026 Blaczz. An independent community plugin, not affiliated with DeepSeek Harness.

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 dsh-sci」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:Blaczz/dsh-sci

Headless(CLI)profile:

dsh plugin --profile headless add github:Blaczz/dsh-sci

实测报告

验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。

使用场景

扩展 agent 的编码能力面——给它一个新工具、工作流或集成,让它接手以前做不了的开发任务。

适合谁

想让 dsh 在真实代码库上像队友一样干活的开发者——能改、能跑、能验证,而不只是回答问题。

二次开发建议

工具/命令面就是缝:暴露更多 SDK 能力、加更聪明的上下文接线,或收紧改代码与验证之间的循环。

安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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