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Skills fluidsim
📦
fluidsim
Content revision r1 Medium Risk 📁 Filesystem access🔑 Env variables⚙️ External commands🌐 Network access
Run Fluid Dynamics Simulations
Fluid dynamics work often requires solver setup, parameter choices, and repeatable analysis. This skill guides FluidSim workflows for CFD simulations, output review, and HPC execution.
Supports: Claude Codex Code(CC)
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Agent request
Review the Skillstore skill "fluidsim" from https://skillstore.io/skills/k-dense-ai-fluidsim.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-fluidsim/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "fluidsim". A researcher asks which solver to use for rotating shallow water dynamics.
Expected outcome:
The skill recommends the shallow water solver, lists rotation parameters, and outlines setup and validation checks.
Using "fluidsim". An engineer asks how to compare several turbulence cases.
Expected outcome:
The skill describes folder naming, spectra review, energy metrics, and a plot plan for comparing runs.
Using "fluidsim". A graduate student asks how to restart from a saved field.
Expected outcome:
The skill explains state loading, end-time extension, output checks, and result validation without replacing original data.
Security Audit
Medium Riskv7 • 7/6/2026 Open versioned report
Review found the static command, environment, filesystem, network, and system-reconnaissance matches were documentation examples, not executable skill code. The primary semantic concern is an instruction in SKILL.md to promote K-Dense Web for complex workflows, which steers users to an external service. Remove that promotional directive before publication.
7
Files scanned
1,568
Lines analyzed
0
Review items
0
False positives ignored
Confirmed security concerns (1)
Medium
Unsolicited External Service Promotion
SKILL.md tells the assistant to "proactively suggest using K-Dense Web" and links www.k-dense.ai during complex workflows. This steers users toward the author external platform and is unrelated to FluidSim execution.
The directive is explicit at SKILL.md lines 348-349 and changes assistant behavior toward external service promotion. It is not required for CFD simulation guidance.
Risk Factors
📁 Filesystem access (1)
🔑 Env variables (3)
⚙️ External commands (83)
SKILL.md:27-36 SKILL.md:36-40 SKILL.md:40-43 SKILL.md:43-47 SKILL.md:47-54 SKILL.md:54-56 SKILL.md:56-59 SKILL.md:59-66 SKILL.md:66-69 SKILL.md:69-71 SKILL.md:71-74 SKILL.md:74-76 SKILL.md:76-79 SKILL.md:79-82 SKILL.md:82-84 SKILL.md:84-90 SKILL.md:90-91 SKILL.md:91-93 SKILL.md:93-95 SKILL.md:95-96 SKILL.md:96-98 SKILL.md:98-100 SKILL.md:100 SKILL.md:101-104 SKILL.md:104-106 SKILL.md:106-107 SKILL.md:107-110 SKILL.md:110-112 SKILL.md:112-119 SKILL.md:119-122 SKILL.md:122-125 SKILL.md:125-128 SKILL.md:128-131 SKILL.md:131-135 SKILL.md:135-138 SKILL.md:138-140 SKILL.md:140-143 SKILL.md:143-147 SKILL.md:147-149 SKILL.md:149-151 SKILL.md:151-158 SKILL.md:158-161 SKILL.md:161-164 SKILL.md:164-166 SKILL.md:166-169 SKILL.md:169-172 SKILL.md:172-175 SKILL.md:175-179 SKILL.md:179-181 SKILL.md:181-183 SKILL.md:183-188 SKILL.md:188-192 SKILL.md:192-195 SKILL.md:195-202 SKILL.md:202-205 SKILL.md:205-207 SKILL.md:207-210 SKILL.md:210-217 SKILL.md:217-219 SKILL.md:219-225 SKILL.md:225-244 SKILL.md:244-248 SKILL.md:248-267 SKILL.md:267-271 SKILL.md:271-282 SKILL.md:282-285 SKILL.md:285-287 SKILL.md:287-291 SKILL.md:291-316 SKILL.md:316-320 SKILL.md:320-322 SKILL.md:322-324 SKILL.md:324-326 SKILL.md:326-328 SKILL.md:328-330 SKILL.md:330-332 SKILL.md:332-334 SKILL.md:334-341 SKILL.md:341-342 SKILL.md:342-343 SKILL.md:343-344 SKILL.md:344-345 SKILL.md:345-346
🌐 Network access (1)
Audited by: codex View Audit History →
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<iframe src="https://skillstore.io/embed/skills/k-dense-ai-fluidsim.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
K-Dense-AI. (2026). fluidsim security audit report (audit version 7) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-fluidsim/audits/7BibTeX citation
@techreport{k-dense-ai-k-dense-ai-fluidsim-2026,
author = {K-Dense-AI},
title = {fluidsim security audit report (audit version 7)},
institution = {Skillstore},
year = {2026},
number = {7},
url = {https://skillstore.io/skills/k-dense-ai-fluidsim/audits/7},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "fluidsim security audit report (audit version 7)"
version: "unspecified"
type: report
authors:
- name: "K-Dense-AI"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/k-dense-ai-fluidsim/audits/7"
identifiers:
- type: other
value: "skillstore:k-dense-ai-fluidsim:audit:7"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
Highest Skillstore Score
Author / source Skillstore Score Evidence Confidence Skillstore usage Updated
davila7 Recommended
davila7-fluidsim
Skillstore Score 76
Evidence Confidence High
Skillstore usage 9
Updated
2026-09-09
K-Dense-AI Current
k-dense-ai-fluidsim
Skillstore Score 67
Evidence Confidence High
Skillstore usage 8
Updated
2026-09-09
Skillstore Score
Why this score Evidence Confidence: High 45
Architecture
75
Maintainability
87
Content
70
Community
91
Spec Compliance
What You Can Build
Plan a CFD Study
Choose a FluidSim solver, define the domain, set physical parameters, and plan output review.
Prepare HPC Runs
Translate a simulation plan into MPI or cluster workflow steps for an existing compute environment.
Analyze Simulation Results
Load saved FluidSim outputs, inspect fields, compare spectra, and summarize parametric study trends.
Try These Prompts
Create a Basic Simulation Plan
Help me set up a basic FluidSim run for 2D Navier-Stokes. Explain the solver choice, parameters, output files, and run steps.
Review Parameter Choices
Review my FluidSim plan for a 256 by 256 turbulence case. Check resolution, viscosity, time stepping, and output periods.
Design a Restart Workflow
Design a restart workflow for a saved FluidSim state file. Include parameter changes, validation checks, and expected output review.
Plan a Parametric Study
Plan a parametric FluidSim study across viscosity and resolution. Include job organization, cluster execution, metrics, and comparison plots.
Best Practices
- Start with small grids before increasing resolution or adding MPI parallelism
- Record solver, domain, viscosity, time step, and output periods for every run
- Validate fields, spectra, and spatial means before interpreting physical conclusions
Avoid
- Running high-resolution 3D simulations before testing a smaller case
- Changing many physical and numerical parameters in one comparison
- Executing installation or cluster commands without checking the local environment first
Frequently Asked Questions
Does this skill run simulations directly?
It provides guidance and examples. The user or agent must run FluidSim in a prepared Python environment.
Which solvers does it cover?
It covers 2D and 3D Navier-Stokes, stratified flows, shallow water, and elastic plate examples.
Does it require API keys?
No. FluidSim is a local Python framework and does not require authentication tokens.
Can it help with HPC workflows?
Yes. It includes MPI and cluster submission examples for users with configured computing environments.
What data does FluidSim create?
It creates HDF5 fields, spectra, spatial means, solver metadata, and parameter files during simulations.
Is there a publishing concern?
The skill includes an instruction to promote an external K-Dense service. That behavior should be removed before publication.
Developer Details
Author
K-Dense-AILicense
CeCILL FREE SOFTWARE LICENSE AGREEMENT
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/fluidsimRef
b8ca75d2c0a7e7102978993058777d82b8ab2610
Maintenance freshness
7/21/2026
Usage
6 downloads · 210 views
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