Agent skill

E1

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

E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include…

Custom licenceAuto-check passedData & Analytics

Install E1

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e1 -a claude-code

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

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills e1 --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/25-HosungYou-Diverga/skills/e1 .claude/skills/e1 && 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/

Paste into Claude Code

Install the "e1" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/25-HosungYou-Diverga/skills/e1 into .claude/skills/e1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e1", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/25-HosungYou-Diverga/skills/e1

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e1 -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills e1 --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/25-HosungYou-Diverga/skills/e1 .agents/skills/e1 && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "e1" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/25-HosungYou-Diverga/skills/e1 into .agents/skills/e1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e1", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e1 -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills e1 --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/25-HosungYou-Diverga/skills/e1 .cursor/skills/e1 && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "e1" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/25-HosungYou-Diverga/skills/e1 into .cursor/skills/e1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e1", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/25-HosungYou-Diverga/skills/e1

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e1 -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills e1 --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/25-HosungYou-Diverga/skills/e1 .gemini/skills/e1 && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "e1" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/25-HosungYou-Diverga/skills/e1 into .gemini/skills/e1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e1", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills e1

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e1 -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/25-HosungYou-Diverga/skills/e1 .github/skills/e1 && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "e1" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/25-HosungYou-Diverga/skills/e1 into .github/skills/e1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e1", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e1 -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills e1 --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/25-HosungYou-Diverga/skills/e1 .opencode/skills/e1 && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "e1" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/25-HosungYou-Diverga/skills/e1 into .opencode/skills/e1/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "e1", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: e1
GitHub stars: 4.5k
Token cost: ~9.3k tokens
SKILL.md length: 938 words
Files: 1
Skills in repo: 383
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: Custom licence

At a glance

E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include…

Works in 7 steps: Context Collection (MANDATORY) → Modal Analysis Method Identification → Long-Tail Analysis Method Sampling → …
: selecting statistical/qualitative methods
SKILL.md covers ⛔ Prerequisites (v8.2 — MCP…, Overview, VS-Research 5-Phase Process and Typicality Score Reference Table, plus 6 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

E1 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include qualitative analysis (thematic, grounded theory, content, narrative) Absorbed E4 (Analysis Code Generator) and E5 (Sensitivity Analysis - Primary Study) capabilities Use when: selecting statistical/qualitative methods, interpreting results, checking assumptions, generating code, sensitivity analysis Triggers: statistical…

Its SKILL.md is about 9.3k 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 Statistics and Experimental design. 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

: selecting statistical/qualitative methods
Interpreting results
Checking assumptions
Generating code

Example prompts

“/e1”

Requirements

Python 3

Workflow steps

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

Context Collection (MANDATORY)
Modal Analysis Method Identification
Long-Tail Analysis Method Sampling
Low-Typicality Selection
Execution
Suitability Verification
Suitability Verification

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 (its code samples are yaml, markdown, r and python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- qsrinternational.com
- atlasti.com
- maxqda.com
- dedoose.com
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

E1 loads about 9.3k tokens when it runs. Until then it costs about 199 tokens; SKILL.md has 938 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~199
When it runs · the whole SKILL.md, loaded when a task matches: ~9.3k

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 938 words (~9,328 tokens).

“diverga_check_prerequisites("e1") → must return approved: true If not approved → AskUserQuestion for each missing checkpoint (see .claude/references/checkpoint-templates.md)”

— opening of SKILL.md by brycewang-stanford, Custom licence

name: e1
version: 12.0.1

Outline of SKILL.md

⛔ Prerequisites (v8.2 — MCP Enforcement)
Checkpoints During Execution
Fallback (MCP unavailable)
E1-Quantitative Analysis Guide
Overview
VS-Research 5-Phase Process
Phase 0: Context Collection (MANDATORY)
Phase 1: Modal Analysis Method Identification
Phase 2: Long-Tail Analysis Method Sampling
Phase 3: Low-Typicality Selection
Phase 4: Execution
Phase 5: Suitability Verification
Typicality Score Reference Table
Quantitative Analysis Method T-Score
Qualitative Analysis Method T-Score
Input Requirements
For Quantitative Analysis
For Qualitative Analysis
Output Format (VS-Enhanced)
Phase 5: Suitability Verification
Grounded Theory Analysis
Content Analysis
Narrative Analysis
Advanced Quantitative Methods (NEW in v5.0)
Bayesian Analysis
Machine Learning for Inference
Analysis Method Selection Flowchart (VS Enhanced - Expanded)
Qualitative Analysis Output Template
Absorbed Capabilities (v11.0)
From E4 — Analysis Code Generator

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/25-HosungYou-Diverga/skills/e1 of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

E1 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.

E1 compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
E1 this skillbrycewang-stanford/Auto-Empirical-Research-Skills	4.5k	—	~9.3k	Automated safety check: Pass	Custom licence	4 days ago
Analyze StatsAperivue/medsci-skills	331	—	~7k	Automated safety check: Pass	MIT	4 days ago
Statistical Powerspacering-net/codeg	3.9k	1 repos	~3.6k	Automated safety check: Notes	MIT	today
Statistical Data Analysislingzhi227/agent-research-skills	386	—	~886	Automated safety check: Pass	None	7 mo ago
Q-EDA Exploratory AnalysisTyrealQ/q-skills	108	—	~1.1k	Automated safety check: Pass	MIT	16 days ago
PyMC Bayesian Modelingdavila7/claude-code-templates	32k	11 repos	~3.9k	Automated safety check: Pass	MIT	today

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Works with

Python

Questions about E1

What does E1 do?

E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include…. E1 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

When should I use E1?

E1 fits situations like: : selecting statistical/qualitative methods; interpreting results; checking assumptions; generating code.

How do I install E1 in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e1 -a claude-code`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/e1 in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/e1 in your project. Claude Code loads it when a task matches its description.

How do I install E1 in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e1 -a codex`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/e1 in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/e1 in your project. Codex loads it when a task matches its description.

Can I use E1 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 e1 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/e1, .gemini/skills/e1, .github/skills/e1 and .opencode/skills/e1 in your project.

What does E1 need to run?

SKILL.md names no scripts, command-line tools or credentials: E1 is instructions for the agent only. Our summary lists: Python 3.

Does E1 access the network?

SKILL.md names 4 domains. As links in the text: qsrinternational.com, atlasti.com, maxqda.com and dedoose.com. This is read from the text; nothing was executed.

Is E1 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 E1 use?

E1 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 E1 use?

About 9.3k tokens (SKILL.md is roughly 37k 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 E1?

Skills that share tags, products or a category with E1: Analyze Stats (Aperivue/medsci-skills, 331 stars), Statistical Power (spacering-net/codeg, 3.9k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 386 stars) and Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains E1?

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.

Install E1

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

More from brycewang-stanford/Auto-Empirical-Research-Skills

Related

Questions about E1