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流体网络求解与 Agent Skill 封装

Name: 流体网络求解与 Agent Skill 封装
Author: hhl31415

作者 hhl31415 · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

160

总下载

当前安装

版本数

在 OpenClaw 中安装

/install fluid-network-analyzer

功能描述

Model, solve, and analyze steady-state fluid networks using TOML input with scenario-based reliability checks and automatic Markdown reporting.

使用说明 (SKILL.md)

Fluid Network Analyzer Skill\r

Overview\r

\r Fluid Network Analyzer is a prototype industrial skill for modeling, solving, and analyzing fluid networks.\r \r The skill supports:\r \r

TOML-based network modeling\r
Steady-state pressure and flow solving\r
Scenario-based system analysis\r
Connectivity and flow path analysis\r
Automatic Markdown report generation\r \r This skill is designed to be used by AI agents to assist engineers in fluid network design and reliability analysis.\r \r ---\r \r

Capabilities\r

1. Generate Network Model\r

\r Generate a TOML network description from natural language.\r \r Input:\r

natural language description of a fluid system\r \r Output:\r
TOML network definition\r \r ---\r \r

2. Solve Fluid Network\r

\r Solve steady-state pressure and flow distribution.\r \r Input:\r

TOML network file\r
scenario name\r \r Output:\r
node pressures\r
branch flows\r
velocities\r
pressure drops\r \r ---\r \r

3. Scenario Analysis\r

\r Analyze system reliability under different operating conditions.\r \r Input:\r

network model\r
scenario definition\r \r Output:\r
connectivity analysis\r
flow path analysis\r
load functionality check\r
Markdown analysis report\r \r ---\r \r

Example Use Case\r

\r User request:\r \r Design a fluid network with one source and two loads.\r \r Agent workflow:\r \r

Generate TOML network model\r
Run solver to compute pressures and flows\r
Run scenario analysis\r
Generate Markdown report\r \r ---\r \r

Outputs\r

\r The skill can generate:\r \r

node pressure tables\r
branch flow results\r
load functionality analysis\r
connectivity paths\r
Markdown scenario reports\r \r Example reports:\r \r
report_normal.md\r
report_valve_closed.md\r \r ---\r \r

Intended Use\r

\r This skill can be used for:\r \r

hydraulic system analysis\r
industrial piping network analysis\r
digital twin simulations\r
AI-assisted engineering design\r \r ---\r \r

License\r

\r MIT-0

安全使用建议

This skill appears coherent and low-risk as an instruction-only helper, but it contains no solver code or install instructions. Before installing or enabling it for autonomous runs, check: (1) how your agent will execute the solver (internal computation vs. calling an external service or installing a package), (2) whether any network calls or third-party services will be invoked (and what credentials they'd need), and (3) minor repository inconsistencies (manifest entry points to 'skill/skill.yaml' while a top-level skill.yaml is present, and registry version differs). If you plan to use this for engineering decisions, test it in a sandbox and verify outputs with a trusted solver/toolchain.

功能分析

Type: OpenClaw Skill Name: fluid-network-analyzer Version: 1.0.0 The fluid-network-analyzer skill bundle is a legitimate tool for engineering simulations, specifically for modeling and analyzing fluid networks. The provided files (SKILL.md, skill.yaml, and manifest.json) contain functional definitions for generating TOML models and performing steady-state calculations without any executable code, data exfiltration logic, or malicious prompt-injection instructions.

能力评估

✓ Purpose & Capability

Name, description, and SKILL.md all describe TOML modeling, steady-state solving, scenario analysis, and Markdown reporting. The skill requests no unrelated credentials or binaries. However, the skill is instruction-only and does not include solver code or declared dependencies; this is plausible for an instructions-only skill (the agent is expected to perform computation), but it is noteworthy.

ℹ Instruction Scope

SKILL.md stays on-topic: it describes generating TOML, solving, analyzing scenarios, and producing Markdown. It does not instruct the agent to read unrelated files, access environment variables, or send data to external endpoints. It is somewhat high-level/vague about the solver implementation and does not say whether to use an internal algorithm, a local binary, or an external service — you should confirm which the agent will use.

✓ Install Mechanism

No install spec and no code files are included. That minimizes file/system footprint and supply-chain risk. Because there is nothing to download or install, there is low install risk.

✓ Credentials

The skill requires no environment variables, credentials, or config paths; requested access is proportional to the stated purpose. If the agent later needs to call an external solver, additional credentials might be required — confirm before granting them.

✓ Persistence & Privilege

always is false and there are no indications the skill modifies other skills or system settings. Autonomous invocation (model invocation) is allowed by default but is not combined with extra privileges here.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install fluid-network-analyzer
安装完成后，直接呼叫该 Skill 的名称或使用 /fluid-network-analyzer 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Fluid Network Analyzer Skill 1.0.0 – Initial Release - Introduces TOML-based modeling of fluid networks from natural language descriptions. - Supports steady-state pressure and flow solving. - Enables scenario-based system reliability and connectivity analysis. - Provides automatic Markdown report generation, including node pressures, branch flows, and analysis results. - Designed for AI-assisted engineering in hydraulic and piping network applications.

元数据

Slug fluid-network-analyzer

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题