Mechanical Engineering Research Skill

REVIEW · 70
Community indexed

A Codex skill for thermal-fluid mechanical engineering research, proposal development, technical writing, data analysis, presentations, and AI-assisted workflows.

Verified installs0
Stars14
Version1.0.0
Quality70/100 · Strong
Trust70/100 · Sandbox only
Audit82/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add hanhuark/mechanical-engineering-research-skill

Maintenance

fresh

7d since push

Risk

Needs review

Low GitHub adoption signal

GitHub quality

14

70/100 Quality · 78/100 Trust

Coverage tags

ResearchResearch agentsmechanical-engineeringthermal-fluidscodex

Review notes

Low GitHub adoption signal · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
70

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
70

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
82

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

14 GitHub stars

Repo activity

14 stars, 2 forks

Maintenance

7d since push

License

MIT

Install

npx skills add hanhuark/mechanical-engineering-research-skill

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 14 GitHub stars
  • Stars/forks activity: 14 stars, 2 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add hanhuark/mechanical-engineering-research-skill
Policy
review
Human review
yes

Trust and risk

Trust
70/100
Audit
82/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add hanhuark/mechanical-engineering-research-skill

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet
  • Quality score needs review

Agent safety v2

66/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Low GitHub adoption signal

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add hanhuark/mechanical-engineering-research-skill

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Mechanical Engineering Research Skill in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Mechanical%20Engineering%20Research%20Skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/hanhuark-mechanical-engineering-research-skill/install
Install command: npx skills add hanhuark/mechanical-engineering-research-skill
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Mechanical Engineering Research Skill for this task. Review https://www.openagentskill.com/api/skills/hanhuark-mechanical-engineering-research-skill/install, then install with: npx skills add hanhuark/mechanical-engineering-research-skill

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

69/100

GitHub automation

Platforms

Python, Claude Code, OpenAI Agents

Audit report

Needs review · 82/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

69
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 70/100 quality profile

review first

  • Low GitHub adoption signal
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

70
OpenAgentSkill Trust Score

GitHub adoption

FIX

14 GitHub stars

Stars/forks activity

FIX

14 stars, 2 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

7d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 14 GitHub stars
  • Stars/forks activity: 14 stars, 2 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

70
GitHub stars
14
Freshness
7d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

# Thermal-Fluid Research Workflow Plugin

[English](README.md) | [简体中文](README.zh-CN.md) | [繁體中文](README.zh-TW.md)

**A domain-rigor layer for thermal-fluid mechanical engineering research with AI agents.**

Generic research agents can summarize papers and draft prose. This plugin helps them do the harder mechanical-engineering work: check heat-transfer and fluid-flow assumptions, catch invalid correlation use, question CFD validation, protect uncertainty analysis, explain mechanisms, and turn evidence into decision-ready research artifacts.

Use it when a thermal-fluid answer needs to be physically defensible, not just well written.

[![Version](https://img.shields.io/badge/version-v0.2.0-blue?style=for-the-badge)](CHANGELOG.md) [![Codex Plugin](https://img.shields.io/badge/Codex-Plugin-blue?style=for-the-badge)](.codex-plugin/plugin.json) [![Claude Code](https://img.shields.io/badge/Claude%20Code-Plugin-purple?style=for-the-badge)](.claude-plugin/plugin.json) [![Skill](https://img.shields.io/badge/Codex-Skill-teal?style=for-the-badge)](skills/mechanical-engineering-research/SKILL.md) [![Domain](https://img.shields.io/badge/Domain-Thermal--Fluids-orange?style=for-the-badge)](#what-it-catches) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow?style=for-the-badge)](LICENSE) [![GitHub stars](https://img.shields.io/github/stars/hanhuark/mechanical-engineering-research-skill?style=for-the-badge)](https://github.com/hanhuark/mechanical-engineering-research-skill/stargazers)

If this helps your research workflow, please star the repo so other mechanical-engineering researchers can find it.

Want the fastest path? Start with [`QUICKSTART.md`](QUICKSTART.md).

## Two-Minute Demo

Paste a prompt like this after installing the skill:

```text Use the mechanical-engineering-research skill to review this claim:

"The CFD model proves that the new microchannel heat sink is optimal because the average Nusselt number is 40% higher than the baseline. The simulation u

Platform compatibility

pythonFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 6, 2026
Published
Aug 6, 2026

Frameworks & tools

Python

Decision snapshot

Fallback candidate

69
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

82
Needs review
Security
87/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for Mechanical Engineering Research Skill, ready for a manual X post.

Curator note
Mechanical Engineering Research Skill: A domain-rigor skill for thermal-fluid mechanical engineering research, packaging agent workf...

14 stars

https://www.openagentskill.com/skills/hanhuark-mechanical-engineering-research-skill?ref=x
Open X draft
Optional reply with install command
Listing + install path for Mechanical Engineering Research Skill:
https://www.openagentskill.com/skills/hanhuark-mechanical-engineering-research-skill?ref=x

Install: npx skills add hanhuark/mechanical-engineering-research-skill

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
hanhuark
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to hanhuark but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/hanhuark-mechanical-engineering-research-skill?metric=listed&label=Listed)](https://www.openagentskill.com/skills/hanhuark-mechanical-engineering-research-skill)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/hanhuark-mechanical-engineering-research-skill?metric=trust&label=Trust)](https://www.openagentskill.com/skills/hanhuark-mechanical-engineering-research-skill)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/hanhuark-mechanical-engineering-research-skill?metric=audit&label=Audit)](https://www.openagentskill.com/skills/hanhuark-mechanical-engineering-research-skill/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/hanhuark-mechanical-engineering-research-skill?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/hanhuark-mechanical-engineering-research-skill)

Author

H

hanhuark

@hanhuark

Health signals

GitHub stars
14
Quality score
43/100
Last GitHub push
Aug 3, 2026
Framework hints
1
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

70
  • GitHub adoption14 GitHub starsFIX
  • Stars/forks activity14 stars, 2 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance7d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS