End-to-end R data analysis for the sewage project. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

Custom licenceAuto-check: notesData & Analytics

Install Data Analysis

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills 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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/41-sticerd-eee-sewage-econometrics-check/skills/data-analysis .claude/skills/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
data-analysis
GitHub stars
4.5k
Token cost
~1.2k tokens
SKILL.md length
357 words
Files
1
Skills in repo
364
Repo updated
First seen
Licence
Custom licence

At a glance

End-to-end R data analysis for the sewage project. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

  • Works in 5 steps: Context Gathering → Write Analysis Script → Code Review → …
  • Tasks that involve Data analysis
  • SKILL.md covers Project-Specific Context, Workflow and Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Data Analysis is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. End-to-end R data analysis for the sewage project. Writes analysis scripts following project conventions (here::here, arrow/parquet, fixest, modelsummary, native pipe), runs code review, and produces publication-ready tables and figures. This skill should be used when asked to "run an analysis", "estimate the model", "add a specification", or "write an R script".

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering Data analysis, DataFrames and Code review. 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

  • Tasks that involve Data analysis
  • Tasks that involve DataFrames
  • Tasks that involve Code review

Example prompts

  • “run an analysis”
  • “estimate the model”
  • “add a specification”
  • “/data-analysis”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob, Write, Edit, Bash, Agent

Workflow steps

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

  1. Context Gathering
  2. Write Analysis Script
  3. Code Review
  4. Run the Script
  5. Present Results

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 these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • Write
    • Edit
    • Bash
    • Agent

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are r and bash).

    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

Data Analysis loads about 1.2k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 357 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Grep, Glob, Write, Edit, Bash, Agent

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 357 words (~1,189 tokens).

“Run an end-to-end data analysis following sewage project conventions.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
data-analysis
allowed-tools
Read, Grep, Glob, Write, Edit, Bash, Agent
argument-hint
[dataset path, analysis goal, or specification description]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/41-sticerd-eee-sewage-econometrics-check/skills/data-analysis of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

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.

Data Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Analysis this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.2kAutomated safety check: NotesCustom licence
Python Executorcortega26/chile-hub1132 repos~1.5kAutomated safety check: PassMIT
Billing Reviewpolarsource/polar10k—~2.3kAutomated safety check: PassMIT
Pandas ProJeffallan/claude-skills12k1 repos~1.5kAutomated safety check: PassMIT
Verified Data Analysis with pandaspipeshub-ai/pipeshub-ai3.8k—~1.2kAutomated safety check: PassApache-2.0
Hybrid-Engine Data Analysiscode-yeongyu/oh-my-openagent70k—~1.4kAutomated safety check: PassCustom licence

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Questions about Data Analysis

What does Data Analysis do?

End-to-end R data analysis for the sewage project. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Data Analysis is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. End-to-end R data analysis for the sewage project.

When should I use Data Analysis?

Data Analysis fits situations like: tasks that involve Data analysis; tasks that involve DataFrames; tasks that involve Code review.

How do I install Data Analysis in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-analysis -a claude-code`. Or copy the skill folder (skills/41-sticerd-eee-sewage-econometrics-check/skills/data-analysis in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/data-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Data Analysis in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-analysis -a codex`. Or copy the skill folder (skills/41-sticerd-eee-sewage-econometrics-check/skills/data-analysis in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/data-analysis in your project. Codex loads it when a task matches its description.

Can I use 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill 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/data-analysis, .gemini/skills/data-analysis, .github/skills/data-analysis and .opencode/skills/data-analysis in your project.

What does Data Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Analysis is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Write, Edit, Bash, Agent.

Does 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 Data Analysis safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Data Analysis use?

Data Analysis 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 Data Analysis use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Data Analysis?

Skills that share tags, products or a category with Data Analysis: Python Executor (cortega26/chile-hub, 113 stars), Billing Review (polarsource/polar, 10k stars), Pandas Pro (Jeffallan/claude-skills, 12k stars) and Verified Data Analysis with pandas (pipeshub-ai/pipeshub-ai, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Analysis?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,529 GitHub stars. The repository holds 364 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.