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cp2k-crosscode-input-studiocp2k 交叉码输入工作室

Agent Skill

cp2k-crosscode-input-studio 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

总安装

6,448

周安装

266

GitHub Stars

公开资料未说明

下载量

2,107
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:cp2k-crosscode-input-studio(cp2k 交叉码输入工作室)
来源仓库:https://github.com/lemon1044/cp2k-crosscode-input-studio
安装命令:
openclaw skills install cp2k-crosscode-input-studio
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install cp2k-crosscode-input-studio

简介

用于生成和完善 CP2K 计算化学输入文件,支持跨格式转换和解释。

  • 适用于材料科学和量子化学工作流程,提升输入脚本编写效率。
  • 通过 clawhub 安装,需确认是否依赖特定环境变量或配置文件。
  • 建议在专业指导下使用,避免因参数错误导致计算失败。
  • 不涉及实际模拟运行,仅辅助输入生成,结果需人工校验。

SKILL.md

name
cp2k-crosscode-input-studio
description
Generate, refine, explain, and cross-convert CP2K-centered input drafts for computational chemistry and materials workflows. Use when a user wants a CP2K .inp file, asks to turn a natural-language request plus structure file into a runnable draft, wants help choosing conservative CP2K defaults, needs an existing CP2K input reviewed for task mapping, periodicity, SCF mode, basis/potential choices, k-points, dispersion, MD settings, or warning flags, or wants a CP2K draft translated into Gaussian, VASP, ORCA, or Quantum ESPRESSO input files. Helpful for CP2K input generation, input translation, quantum chemistry setup, materials simulation setup, and cross-code draft preparation.

CP2K input generator

Generate a practical CP2K draft, not a fake “final validated setup”. Prefer explicit assumptions, conservative defaults, and warnings over false certainty.

Follow this workflow

  1. Read references/design-rules.md.
  2. Read references/job-spec-schema.md to understand the normalized contract.
  3. Read only the references needed for the current task:

- references/cp2k-task-map.md for task routing - references/cp2k-defaults.md for safe defaults - references/cp2k-kinds.md for basis/potential choices - references/ambiguity-policy.md for under-specified requests - references/structure-sources.md when the user needs a structure source rather than already having one - references/conversion-rules.md when the user wants Gaussian/VASP/ORCA/Quantum ESPRESSO drafts derived from the CP2K draft or normalized spec

  1. Normalize the request before drafting the CP2K input.
  2. Generate three deliverables whenever possible:

- normalized.json - job.inp - report.md

Output discipline

Always make these clear:

  • interpreted task
  • detected system type
  • periodicity assumption
  • major defaults applied
  • warnings / review-required items

Do not silently invent scientifically decisive inputs such as nontrivial charge, spin state for uncertain open-shell systems, or detailed periodic settings for an xyz file pretending to be a crystal.

Use the bundled scripts when helpful

These scripts are local helper utilities for deterministic text generation inside the skill folder. They are intended for transparent, offline preprocessing/rendering of CP2K draft files, not hidden network actions or privileged system changes.

  • scripts/normalize-request.py: normalize a raw request JSON into the standard job spec
  • scripts/render-cp2k-input.py: render a CP2K input draft from the normalized spec and a structure file
  • scripts/generate_cp2k_bundle.py: one-shot pipeline that writes normalized.json, job.inp, and report.md
  • scripts/convert-cp2k-input.py: convert a generated CP2K draft into a conservative Gaussian, VASP, ORCA, or Quantum ESPRESSO draft

Current supported draft space

Support is strongest for:

  • molecular xyz jobs
  • single-point energy
  • geometry optimization
  • cell optimization for periodic systems
  • short test MD inputs
  • vibrational analysis drafts
  • conservative periodic-material drafts with heuristic k-points
  • draft conversion from the generated CP2K input/spec into Gaussian, VASP, ORCA, and Quantum ESPRESSO input sets

For harder cases like transition states, NEB, unusual excited-state methods, or poorly defined transition-metal spin states, generate a conservative draft only if the workflow is still interpretable and mark the risky fields for manual review.

Do not pretend that every structure format is parsed equally deeply. If the renderer cannot deterministically recover element-wise KIND data from the provided structure file, keep the draft conservative, surface the limitation in report.md, and require manual review instead of fabricating details.

If converting a CP2K input into another code, prefer CP2K drafts generated by this skill itself. Treat arbitrary hand-written CP2K files as only partially supported unless they stay close to the emitted block structure. file, keep the draft conservative, surface the limitation in report.md, and require manual review instead of fabricating details.

If converting a CP2K input into another code, prefer CP2K drafts generated by this skill itself. Treat arbitrary hand-written CP2K files as only partially supported unless they stay close to the emitted block structure.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.4%
按下载量换算1,820

安全审计

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通过

ClawScan

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Static analysis

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权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install cp2k-crosscode-input-studio 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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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