thermal-fluid-analysis SKILL.md skillA

thermal-fluid-analysis from hanhuark/mechanical-engineering-research-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add hanhuark/mechanical-engineering-research-skill/thermal-fluid-analysis@git:20260909.04a2fb0

Pins git:20260909.04a2fb0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
hanhuark/mechanical-engineering-research-skill
Path
skills/thermal-fluid-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260909.04a2fb0, committed Sep 9, 2026
Size
2,773 bytes
Repository stars
23
License
MIT

Analyze thermal-fluid engineering systems, experiments, CFD, and correlations with explicit assumptions, validity limits, uncertainty, and mechanism-based interpretation. Use for heat transfer, fluid mechanics, phase change, HVAC, energy systems, turbomachinery, piping, or thermal management.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Thermal-Fluid Analysis

## Purpose

Develop decision-ready thermal-fluid analysis without separating numerical output from physical meaning. State what is measured, simulated, derived, assumed, or inferred; retain units, sign conventions, property states, system boundaries, and applicability limits.

## Analysis Workflow

1. Define the system: geometry, working fluid, operating regime, boundary conditions, performance metrics, and constraints.
2. Establish the physical model: governing balances, material properties and their evaluation state, dimensionless groups, competing mechanisms, and expected limiting behavior.
3. Select evidence: standards, handbooks, peer-reviewed work, calibrated measurements, validated CFD, or correlations inside their stated range.
4. Test credibility: dimensional consistency, conservation, order of magnitude, limiting cases, uncertainty/sensitivity, and an independent analytical or empirical check where possible.
5. Conclude by mechanism and tradeoff: performance, pressure drop or pumping power, manufacturability, reliability, cost, safety, scaling, and residual risk.

## Experiments
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add hanhuark/mechanical-engineering-research-skill/thermal-fluid-analysis@sha256:d9883d0f6ffa2ae8

The line at the top of this page pins the label git:20260909.04a2fb0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_dn7gzy25wly2euc2.svg)](https://markdownregistry.com/a/art_dn7gzy25wly2euc2)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 9, 2026.

versioncommittedcommitsizeaudit
git:20260909.04a2fb0 latest2026-09-09 04a2fb0 2,773 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2773 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

hanhuark/mechanical-engineering-research-skill · 23 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_dn7gzy25wly2euc2
GET https://markdownregistry.com/api/v1/resolve?ref=hanhuark/mechanical-engineering-research-skill/thermal-fluid-analysis
GET https://markdownregistry.com/api/v1/blob/d9883d0f6ffa2ae8a7b058d9bf31f6b12d36bb2731c544cffa230cb6ed6258d2

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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