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Agent skill

Eda

by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills

Comprehensive exploratory data analysis with publication-quality descriptive tables, correlation matrices, distribution plots, and assumption testing.

Custom licenceAuto-check passedData & Analytics

Install Eda

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill eda -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills eda --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/61-phdemotions-research-methods/skills/eda .claude/skills/eda && 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
eda
GitHub stars
4.5k
Token cost
~1.5k tokens
SKILL.md length
598 words
Files
3 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Comprehensive exploratory data analysis with publication-quality descriptive tables, correlation matrices, distribution plots, and assumption testing.

  • Works in 9 steps: Locate and read the data → Load principles and rubric → Sample descriptives (Table 1) → …
  • The user says exploratory analysis
  • SKILL.md covers How to run EDA, Voice and Argument handling
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Eda is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Comprehensive exploratory data analysis with publication-quality descriptive tables, correlation matrices, distribution plots, and assumption testing. Generates a standalone EDA report with Table 1 (gtsummary/greattables), correlation heatmap, distribution diagnostics, VIF for multicollinearity, and normality/homoscedasticity tests. All figures are APA-formatted and colorblind-safe. Use when the user says "exploratory analysis," "EDA," "descriptive statistics," "explore the data," "Table 1," "correlations,"…

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/criteria.md` and `references/principles.md`).

It sits in Data & Analytics, covering Data analysis, Data visualization and Statistics. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • The user says exploratory analysis
  • Descriptive statistics
  • Explore the data
  • /data-clean completes successfully

Example prompts

  • “exploratory analysis,”
  • “descriptive statistics,”
  • “explore the data,”
  • “/eda”

Requirements

  • Python 3

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Locate and read the data
  2. Load principles and rubric
  3. Sample descriptives (Table 1)
  4. Correlation matrix
  5. Distributions
  6. Assumption pre-checks
  7. Bivariate relationships
  8. Generate EDA report
  9. Summary and next steps

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. 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

Eda loads about 1.5k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 163 tokens; SKILL.md has 598 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~163
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.2k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 598 words (~1,481 tokens).

“You are the researcher's first real look at the data after cleaning. Your job is to describe everything before anyone tests anything. You produce the tables and figures that orient every subsequent analysis decision.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
eda
argument-hint
<path to cleaned data — defaults to data/processed/>

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in skills/61-phdemotions-research-methods/skills/eda of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/criteria.md
  • references/principles.md

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Eda 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.

Eda compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Eda this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.5kAutomated safety check: PassCustom licence
CSV Data Analysis5zjk5/prompt-engineering127—~2.6kAutomated safety check: PassNone
Data Analysisfastclaw-ai/fastclaw1.4k—~410Automated safety check: PassCustom licence
Data Analystholaboss-ai/holaOS11k—~551Automated safety check: PassCustom licence
Scientific Toolkit SkillzLanqing/codex-claude-academic-skills4.7k—~1.2kAutomated safety check: PassMIT
Ukb Ppp Region FetchClawBio/ClawBio1.2k—~4.6kAutomated safety check: PassMIT

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Categories

Questions about Eda

What does Eda do?

Comprehensive exploratory data analysis with publication-quality descriptive tables, correlation matrices, distribution plots, and assumption testing. Eda is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Comprehensive exploratory data analysis with publication-quality descriptive tables, correlation matrices, distribution plots, and assumption testing.

When should I use Eda?

Eda fits situations like: the user says exploratory analysis; descriptive statistics; explore the data; /data-clean completes successfully.

How do I install Eda in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill eda -a claude-code`. Or copy the skill folder (skills/61-phdemotions-research-methods/skills/eda in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/eda in your project. Claude Code loads it when a task matches its description.

How do I install Eda in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill eda -a codex`. Or copy the skill folder (skills/61-phdemotions-research-methods/skills/eda in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/eda in your project. Codex loads it when a task matches its description.

Can I use Eda 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill eda -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eda, .gemini/skills/eda, .github/skills/eda and .opencode/skills/eda in your project.

What does Eda need to run?

SKILL.md names no scripts, command-line tools or credentials: Eda is instructions for the agent only. Our summary lists: Python 3.

Does Eda 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 Eda 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 Eda use?

Eda has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Eda use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Eda?

Skills that share tags, products or a category with Eda: CSV Data Analysis (5zjk5/prompt-engineering, 127 stars), Data Analysis (fastclaw-ai/fastclaw, 1.4k stars), Data Analyst (holaboss-ai/holaOS, 11k stars) and Scientific Toolkit Skill (zLanqing/codex-claude-academic-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Eda?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.