流体网络求解与 Agent Skill 封装
v1.0.0Model, solve, and analyze steady-state fluid networks using TOML input with scenario-based reliability checks and automatic Markdown reporting.
⭐ 0· 98·0 current·0 all-time
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & 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.Like a lobster shell, security has layers — review code before you run it.
latestvk97etja2s526weh8dd87bz7c5d8340nn
License
MIT-0
Free to use, modify, and redistribute. No attribution required.