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Agent skill

Research Data Analysis

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Design and analyze engineering experiments or simulations using baseline cases, hypothesis-driven DOE, traceable data processing, defensible plots, uncertainty, and validation.

Apache-2.0Auto-check passedData & Analytics

Install Research Data Analysis

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill research-data-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins research-data-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/hanhuark/mechanical-engineering-research-skill/skills/research-data-analysis .claude/skills/research-data-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
research-data-analysis
GitHub stars
1.2k
Token cost
~564 tokens
SKILL.md length
234 words
Files
5 (incl. references)
Skills in repo
686
Repo updated
First seen
Licence
Apache-2.0

At a glance

Design and analyze engineering experiments or simulations using baseline cases, hypothesis-driven DOE, traceable data processing, defensible plots, uncertainty, and validation.

  • Works in 5 steps: State the mechanism and the falsifiable… → Define a baseline with detailed… → Select contrast cases that isolate… → …
  • Laboratory data
  • SKILL.md covers Purpose, Route To References, Hypothesis-Driven DOE and Data And Plots
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research Data Analysis is an agent skill from hashgraph-online/awesome-codex-plugins. 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.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/ai-tools-thermal-fluids.md` and `references/research-coding.md`).

It sits in Data & Analytics, covering Data analysis and Physical and earth sciences. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Laboratory data
  • Parameter studies

Example prompts

  • “/research-data-analysis”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research Data Analysis loads about 564 tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 234 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~564
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 234 words, ~564 tokens.

Download SKILL.mdSave it as .claude/skills/research-data-analysis/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
research-data-analysis
description
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.

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.

Do not multiply arbitrary levels of independent parameters simply because computation or test time is available. Use broad sweeps only when exploration, optimization, surrogate construction, or response-surface estimation is itself justified.

Data And Plots

Preserve raw-data provenance, units, calibration and preprocessing steps, scripts/environment, deterministic inputs, and versioned outputs. Build plots around comparisons that test the hypothesis. Show uncertainty, sample size or repeat count where relevant, and avoid visually implying precision beyond the measurement or model.

For ML, split data by experimental condition, video, specimen, or run when adjacent observations are correlated; distinguish predictive performance from physical validation and domain-transfer performance.

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in plugins/hanhuark/mechanical-engineering-research-skill/skills/research-data-analysis of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • references/ai-tools-thermal-fluids.md
  • references/research-coding.md
  • references/technical-writing-analysis.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Research Data Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Research Data Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Data Analysis this skillhashgraph-online/awesome-codex-plugins1.2k—~564Automated safety check: PassApache-2.0
Seismology Data Guidewentorai/research-plugins2981 repos~1.8kAutomated safety check: PassMIT
Exploratory Data Analysisspacering-net/codeg3.8k15 repos~3.6kAutomated safety check: PassMIT
Excel and CSV Data Analysisbytedance/deer-flow83k4 repos~2.2kAutomated safety check: PassMIT
Exploratory Data AnalysisOleafly/Oleafly2063 repos~3.4kAutomated safety check: NotesMIT
Python Executorcortega26/chile-hub1132 repos~1.5kAutomated safety check: PassMIT

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Categories

Questions about Research Data Analysis

What does Research Data Analysis do?

Design and analyze engineering experiments or simulations using baseline cases, hypothesis-driven DOE, traceable data processing, defensible plots, uncertainty, and validation. Research Data Analysis is an agent skill from hashgraph-online/awesome-codex-plugins. Design and analyze engineering experiments or simulations using baseline cases, hypothesis-driven DOE, traceable data processing, defensible plots, uncertainty, and validation.

When should I use Research Data Analysis?

Research Data Analysis fits situations like: laboratory data; parameter studies.

How do I install Research Data Analysis in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill research-data-analysis -a claude-code`. Or copy the skill folder (plugins/hanhuark/mechanical-engineering-research-skill/skills/research-data-analysis in hashgraph-online/awesome-codex-plugins) into .claude/skills/research-data-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Research Data Analysis in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill research-data-analysis -a codex`. Or copy the skill folder (plugins/hanhuark/mechanical-engineering-research-skill/skills/research-data-analysis in hashgraph-online/awesome-codex-plugins) into .agents/skills/research-data-analysis in your project. Codex loads it when a task matches its description.

Can I use Research Data Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill research-data-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-data-analysis, .gemini/skills/research-data-analysis, .github/skills/research-data-analysis and .opencode/skills/research-data-analysis in your project.

What does Research Data Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Research Data Analysis is instructions for the agent only.

Does Research Data Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Research Data Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Research Data Analysis use?

Research Data Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research Data Analysis use?

About 564 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.9k tokens, read only when the agent opens those files.

What are the alternatives to Research Data Analysis?

Skills that share tags, products or a category with Research Data Analysis: Seismology Data Guide (wentorai/research-plugins, 298 stars), Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars) and Exploratory Data Analysis (Oleafly/Oleafly, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Data Analysis?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.