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Agent skill

Analyze

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

End-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review.

Custom licenceAuto-check: notesData & Analytics

Install Analyze

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills analyze --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/16-hsantanna88-clo-author/dot-claude/skills/analyze .claude/skills/analyze && 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
analyze
GitHub stars
4.5k
Token cost
~2.2k tokens
SKILL.md length
986 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

End-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review.

  • Works in 6 steps: Context Gathering → Data Preparation (if needed) → Main Analysis → …
  • Tasks that involve Data analysis
  • SKILL.md covers Workflow, Script Structure Template, Results Summary (Mandatory… and Dual-Language Mode (--dual…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Analyze is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. End-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review. Supports R, Stata, Python, Julia. Replaces /data-analysis.

Its SKILL.md is about 2.2k 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 and Econometrics and empirical research. It works with Python. 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 Econometrics and empirical research

Example prompts

  • “/analyze”

Requirements

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

Workflow steps

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

  1. Context Gathering
  2. Data Preparation (if needed)
  3. Main Analysis
  4. Code Review
  5. Fix Issues
  6. 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
    • Task

    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).

    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

Analyze loads about 2.2k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 986 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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, Task

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 986 words (~2,241 tokens).

“Run end-to-end data analysis by dispatching the Coder (analysis), Data-engineer (cleaning + figures), and coder-critic (code review).”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
analyze
allowed-tools
Read, Grep, Glob, Write, Edit, Bash, Task
argument-hint
[dataset path or goal] Options: --dual [lang1,lang2]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/16-hsantanna88-clo-author/dot-claude/skills/analyze of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Analyze 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.

Analyze compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyze this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.2kAutomated safety check: NotesCustom licence
Statistical Data Analysislingzhi227/agent-research-skills386—~886Automated safety check: PassNone
Q-EDA Exploratory AnalysisTyrealQ/q-skills108—~1.1kAutomated safety check: PassMIT
PyMC Bayesian Modelingdavila7/claude-code-templates32k11 repos~3.9kAutomated safety check: PassMIT
openFDA Regulatory Data Queriesdavila7/claude-code-templates32k11 repos~3.6kAutomated safety check: PassMIT
Pyopenmsdavila7/claude-code-templates32k11 repos~1.4kAutomated safety check: PassMIT

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Works with

Categories

Questions about Analyze

What does Analyze do?

End-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review. Analyze is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. End-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review.

When should I use Analyze?

Analyze fits situations like: tasks that involve Data analysis; tasks that involve Econometrics and empirical research.

How do I install Analyze in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill analyze -a claude-code`. Or copy the skill folder (skills/16-hsantanna88-clo-author/dot-claude/skills/analyze in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/analyze in your project. Claude Code loads it when a task matches its description.

How do I install Analyze in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill analyze -a codex`. Or copy the skill folder (skills/16-hsantanna88-clo-author/dot-claude/skills/analyze in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/analyze in your project. Codex loads it when a task matches its description.

Can I use Analyze 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 analyze -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze, .gemini/skills/analyze, .github/skills/analyze and .opencode/skills/analyze in your project.

What does Analyze need to run?

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

Does Analyze 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 Analyze 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 Analyze use?

Analyze 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 Analyze use?

About 2.2k tokens (SKILL.md is roughly 9k 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 Analyze?

Skills that share tags, products or a category with Analyze: Statistical Data Analysis (lingzhi227/agent-research-skills, 386 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars), PyMC Bayesian Modeling (davila7/claude-code-templates, 32k stars) and openFDA Regulatory Data Queries (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyze?

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.