research-data-analysis SKILL.md skillA
research-data-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.
mdr add hanhuark/mechanical-engineering-research-skill/research-data-analysis@git:20260909.04a2fb0Pins 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/research-data-analysis/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260909.04a2fb0, committed Sep 9, 2026
- Size
- 2,256 bytes
- Repository stars
- 23
- License
- MIT
Design and analyze engineering experiments or simulations using baseline cases, hypothesis-driven DOE, traceable data processing, defensible plots, uncertainty, and validation. Use for CFD, laboratory data, ML workflows, parameter studies, or research code.
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
# Research Data Analysis ## Purpose Produce understanding, not an exhaustive parameter sweep. Use a detailed baseline case to demonstrate the measurement/model chain, then choose experiments or simulations that can prove or disprove a stated hypothesis. ## Route To References - For baseline-first DOE, figure discussion, and technical analysis structure, read `references/technical-writing-analysis.md`. - For reproducible research code and data pipelines, read `references/research-coding.md`. - For AI/ML-assisted thermal-fluid analysis, read `references/ai-tools-thermal-fluids.md`. ## Hypothesis-Driven DOE 1. State the mechanism and the falsifiable prediction. 2. Define a baseline with detailed diagnostics, data reduction, uncertainty, and expected limits. 3. Select contrast cases that isolate mechanisms, including controls or negative cases when informative. 4. Define response variables, sampling, replication, exclusions, and statistical/physical decision criteria before inspecting outcomes. 5. Report what each possible outcome would mean. A useful DOE advances understanding whether the hypothesis is supported or rejected. …
Read the whole file at its exact version.
How to install
mdr add hanhuark/mechanical-engineering-research-skill/research-data-analysis@sha256:ffb74ed81314257dThe 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.
[](https://markdownregistry.com/a/art_6gsfpl4gkjpj7ncm)
2 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.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2256 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
hanhuark/mechanical-engineering-research-skill · 23 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6gsfpl4gkjpj7ncm GET https://markdownregistry.com/api/v1/resolve?ref=hanhuark/mechanical-engineering-research-skill/research-data-analysis GET https://markdownregistry.com/api/v1/blob/ffb74ed81314257d236aa27204a937dfc5cc29d0db3f841531260a69c5c7b4a5
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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