流体网络求解与 Agent Skill 封装

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

Security Scan

The skill's declared purpose (modeling and steady-state fluid network analysis) is consistent with its instructions and does not request extra credentials or installs, but it is instruction-only and lacks any bundled solver/implementation — verify how your agent will actually perform the computations before trusting it.

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.

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.

Assessment

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.

Fluid Network Analyzer Skill

Overview

Fluid Network Analyzer is a prototype industrial skill for modeling, solving, and analyzing fluid networks.

The skill supports:

• TOML-based network modeling
• Steady-state pressure and flow solving
• Scenario-based system analysis
• Connectivity and flow path analysis
• Automatic Markdown report generation

This skill is designed to be used by AI agents to assist engineers in fluid network design and reliability analysis.

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Capabilities

1. Generate Network Model

Generate a TOML network description from natural language.

Input:

• natural language description of a fluid system

Output:

• TOML network definition

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2. Solve Fluid Network

Solve steady-state pressure and flow distribution.

Input:

• TOML network file
• scenario name

Output:

• node pressures
• branch flows
• velocities
• pressure drops

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3. Scenario Analysis

Analyze system reliability under different operating conditions.

Input:

• network model
• scenario definition

Output:

• connectivity analysis
• flow path analysis
• load functionality check
• Markdown analysis report

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Example Use Case

User request:

Design a fluid network with one source and two loads.

Agent workflow:

1. Generate TOML network model
2. Run solver to compute pressures and flows
3. Run scenario analysis
4. Generate Markdown report

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Outputs

The skill can generate:

• node pressure tables
• branch flow results
• load functionality analysis
• connectivity paths
• Markdown scenario reports

Example reports:

• report_normal.md
• report_valve_closed.md

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Intended Use

This skill can be used for:

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

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License

MIT-0