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Agent Skill · 研究检索

numerical-integration(数值积分)

numerical-integration 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

numerical-integration 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 49,122。

总安装 661周安装 27GitHub Stars 31下载 214核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:numerical-integration(数值积分)
来源仓库:https://github.com/heshamfs/materials-simulation-skills
仓库路径:skills/numerical-integration
安装命令:
npx skills add https://github.com/heshamfs/materials-simulation-skills --skill numerical-integration
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/heshamfs/materials-simulation-skills --skill numerical-integration

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

numerical-integration 用于查找、检索和筛选相关信息,适合在主流 Agent 宿主中快速定位候选结果。适用于围绕数值积分方法进行信息检索。通过 npx skills add 命令安装,需结合原始 README 确认具体用法。安装前建议确认权限范围、维护状态及是否触发联网或文件读写操作。

可结合来源仓库进一步核验功能细节和使用限制。

来源仓库内路径:skills/numerical-integration

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/heshamfs/materials-simulation-skills --skill n…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

numerical-integration 怎么安装?

在终端执行 npx skills add https://github.com/heshamfs/materials-simulation-skills --skill numerical-i…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

numerical-integration 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

numerical-integration 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/heshamfs/materials-simulation-skills --skill numerical-integration 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

numerical-integration 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

numerical-integration 用的人多吗?

公开数据是累计安装 661 次,近一周安装 27 次,下载 214 次,GitHub 31 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

numerical-integration 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
numerical-integration

数值积分 · 本页

66131执行命令未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Numerical Integration

Goal

Provide a reliable workflow to select integrators, set tolerances, and manage adaptive time stepping for time-dependent simulations.

Requirements

  • Python 3.8+
  • NumPy (for some scripts)
  • No heavy dependencies for core functionality

Inputs to Gather

InputDescriptionExample
Problem typeODE/PDE, stiff/non-stiffstiff PDE
Jacobian availableCan compute ∂f/∂u?yes
Target accuracyDesired error level1e-6
ConstraintsMemory, implicit allowed?implicit OK
Time scaleCharacteristic time1e-3 s

Decision Guidance

Choosing an Integrator

Is the problem stiff?
├── YES → Is Jacobian available?
│   ├── YES → Use Rosenbrock or BDF
│   └── NO → Use BDF with numerical Jacobian
└── NO → Is high accuracy needed?
    ├── YES → Use RK45 or DOP853
    └── NO → Use RK4 or Adams-Bashforth

Stiff vs Non-Stiff Detection

SymptomLikely StiffAction
dt shrinks to tiny valuesYesSwitch to implicit
Eigenvalues span many decadesYesUse BDF/Radau
Smooth solution, reasonable dtNoStay explicit

Script Outputs (JSON Fields)

ScriptKey Outputs
scripts/error_norm.pyerror_norm, scale_min, scale_max
scripts/adaptive_step_controller.pyaccept, dt_next, factor
scripts/integrator_selector.pyrecommended, alternatives, notes
scripts/imex_split_planner.pyimplicit_terms, explicit_terms, splitting_strategy
scripts/splitting_error_estimator.pyerror_estimate, substeps

Workflow

  1. Classify stiffness - Check eigenvalue spread or use stiffness_detector
  2. Choose tolerances - See references/tolerance_guidelines.md
  3. Select integrator - Run scripts/integrator_selector.py
  4. Compute error norms - Use scripts/error_norm.py for step acceptance
  5. Adapt step size - Use scripts/adaptive_step_controller.py
  6. Plan IMEX/splitting - If mixed stiff/nonstiff, use scripts/imex_split_planner.py
  7. Validate convergence - Repeat with tighter tolerances

Conversational Workflow Example

User: I'm solving the Allen-Cahn equation with a stiff double-well potential. What integrator should I use?

Agent workflow:

  1. Check integrator options: python3 scripts/integrator_selector.py --stiff --jacobian-available --accuracy high --json
  2. Plan the IMEX splitting (diffusion implicit, reaction explicit): python3 scripts/imex_split_planner.py --stiff-terms diffusion --nonstiff-terms reaction --coupling weak --json
  3. Recommend: Use IMEX-BDF2 with diffusion term implicit, double-well reaction explicit.

Pre-Integration Checklist

  • Identify stiffness and dominant time scales
  • Set rtol/atol consistent with physics and units
  • Confirm integrator compatibility with stiffness
  • Use error norm to accept/reject steps
  • Verify convergence with tighter tolerance run

CLI Examples

# Select integrator for stiff problem with Jacobian
python3 scripts/integrator_selector.py --stiff --jacobian-available --accuracy high --json

# Compute scaled error norm
python3 scripts/error_norm.py --error 0.01,0.02 --solution 1.0,2.0 --rtol 1e-3 --atol 1e-6 --json

# Adaptive step control with PI controller
python3 scripts/adaptive_step_controller.py --dt 1e-2 --error-norm 0.8 --order 4 --controller pi --json

# Plan IMEX splitting
python3 scripts/imex_split_planner.py --stiff-terms diffusion,elastic --nonstiff-terms reaction --coupling strong --json

# Estimate splitting error
python3 scripts/splitting_error_estimator.py --dt 1e-4 --scheme strang --commutator-norm 50 --target-error 1e-6 --json

Error Handling

ErrorCauseResolution
rtol and atol must be positiveInvalid tolerancesUse positive values
error-norm must be positiveNegative error normCheck error computation
Unknown controllerInvalid controller typeUse i, pi, or pid
Splitting requires at least one termEmpty term listSpecify stiff or nonstiff terms

Interpretation Guidance

Error Norm Values

Error NormMeaningAction
< 1.0Step acceptableAccept, maybe increase dt
≈ 1.0At tolerance boundaryAccept with current dt
> 1.0Step rejectedReject, reduce dt

Controller Selection

ControllerPropertiesBest For
I (integral)Simple, some overshootNon-stiff, moderate accuracy
PI (proportional-integral)Smooth, robustGeneral use
PIDAggressive adaptationRapidly varying dynamics

IMEX Strategy

CouplingStrategy
WeakSimple operator splitting
ModerateStrang splitting
StrongFully coupled IMEX-RK

Security

Input Validation

  • All numeric inputs (dt, rtol, atol, error_norm, stiffness_ratio, commutator_norm, etc.) are validated as finite numbers at the function boundary
  • imex_split_planner.py validates term names against [a-zA-Z_][a-zA-Z0-9_ -]* with length and count limits, preventing injection payloads in user-supplied term lists
  • Comma-separated value lists are capped at 100,000 entries to prevent resource exhaustion
  • Numeric bounds enforced: dimension capped at 10 billion, order at 20, stiffness_ratio at 1e30
  • --controller is validated against a fixed allowlist (i, pi, pid)
  • --scheme is validated against known splitting schemes (lie, strang)

File Access

  • Scripts read no external files; all inputs are provided via CLI arguments
  • Scripts write only to stdout (JSON output); no files are created unless the agent explicitly uses the Write tool

Tool Restrictions

  • Read: Used to inspect script source, references, and user configuration files
  • Write: Used to save integrator recommendations or splitting plans; writes are scoped to the user's working directory
  • Grep/Glob: Used to locate relevant files and search references
  • The skill's allowed-tools excludes Bash to prevent the agent from executing arbitrary commands when processing user-provided inputs

Safety Measures

  • No eval(), exec(), or dynamic code generation
  • All subprocess calls use explicit argument lists (no shell=True)
  • Reduced tool surface (no Bash) limits the agent to read/write operations only
  • Term names are sanitized before use, preventing shell metacharacter injection

Limitations

  • No automatic stiffness detection: Use stiffness_detector from numerical-stability
  • Splitting assumes separability: Terms must be cleanly separable
  • Jacobian requirement: Some methods need analytical or numerical Jacobian

References

  • references/method_catalog.md - Integrator options and properties
  • references/tolerance_guidelines.md - Choosing rtol/atol
  • references/error_control.md - Error norm and adaptation formulas
  • references/imex_guidelines.md - Stiff/non-stiff splitting
  • references/splitting_catalog.md - Operator splitting patterns
  • references/multiphase_field_patterns.md - Phase-field specific splits

Version History

  • v1.1.0 (2024-12-24): Enhanced documentation, decision guidance, examples
  • v1.0.0: Initial release with 5 integration scripts

平台分布

Codex

35.03%
按下载量换算75

Claude

29.87%
按下载量换算64

Cursor

16.88%
按下载量换算36

Gemini CLI

9.55%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/heshamfs/materials-simulation-skills --skill numerical-integration 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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