Agent E3 - Mixed Methods Integration Specialist - Qual-Quant data integration and meta-inference.

Custom licenceAuto-check passedData & Analytics

Install E3

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e3 -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills e3 --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/e3 .claude/skills/e3 && 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
e3
GitHub stars
4.5k
Token cost
~3.9k tokens
SKILL.md length
418 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Agent E3 - Mixed Methods Integration Specialist - Qual-Quant data integration and meta-inference.

  • Works in 4 steps: Integration Strategy Selection → Joint Display Creation → Meta-Inference Generation → …
  • Tasks that involve Data pipelines and ETL
  • SKILL.md covers ⛔ Prerequisites (v8.2 — MCP…, Role, Core Capabilities and Standard Joint Display Template, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

E3 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Agent E3 - Mixed Methods Integration Specialist - Qual-Quant data integration and meta-inference. Covers joint display creation, integration strategies, and legitimation techniques.

Its SKILL.md is about 3.9k 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 pipelines and ETL. 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 pipelines and ETL

Example prompts

  • “/e3”

Workflow steps

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

  1. Integration Strategy Selection
  2. Joint Display Creation
  3. Meta-Inference Generation
  4. Legitimation Strategies

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 and markdown).

    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

E3 loads about 3.9k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 418 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

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 418 words (~3,900 tokens).

“diverga_check_prerequisites("e3") → 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
e3
version
12.0.1

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/25-HosungYou-Diverga/skills/e3 of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

E3 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.

E3 compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
E3 this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.9kAutomated safety check: PassCustom licence
Crawl4AI Web Scrapingsmallnest/goclaw5991 repos~2.5kAutomated safety check: PassMIT
Glue 09 10 Migrationaws-samples/aws-glue-samples1.5k—~2.4kAutomated safety check: PassMIT-0
Migrate Glue Devendpoint To Interactive Sessionsaws-samples/aws-glue-samples1.5k—~3.6kAutomated safety check: PassMIT-0
Dbt Databricks PR Readydatabricks/dbt-databricks380—~2.8kAutomated safety check: PassApache-2.0
Apache Spark EngineerJeffallan/claude-skills12k1 repos~1.7kAutomated safety check: PassMIT

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Questions about E3

What does E3 do?

Agent E3 - Mixed Methods Integration Specialist - Qual-Quant data integration and meta-inference. E3 is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Agent E3 - Mixed Methods Integration Specialist - Qual-Quant data integration and meta-inference.

When should I use E3?

E3 fits situations like: tasks that involve Data pipelines and ETL.

How do I install E3 in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e3 -a claude-code`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/e3 in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/e3 in your project. Claude Code loads it when a task matches its description.

How do I install E3 in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill e3 -a codex`. Or copy the skill folder (skills/25-HosungYou-Diverga/skills/e3 in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/e3 in your project. Codex loads it when a task matches its description.

Can I use E3 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 e3 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/e3, .gemini/skills/e3, .github/skills/e3 and .opencode/skills/e3 in your project.

What does E3 need to run?

SKILL.md names no scripts, command-line tools or credentials: E3 is instructions for the agent only.

Does E3 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 E3 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 E3 use?

E3 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 E3 use?

About 3.9k tokens (SKILL.md is roughly 16k 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 E3?

Skills that share tags, products or a category with E3: Crawl4AI Web Scraping (smallnest/goclaw, 599 stars), Glue 09 10 Migration (aws-samples/aws-glue-samples, 1.5k stars), Migrate Glue Devendpoint To Interactive Sessions (aws-samples/aws-glue-samples, 1.5k stars) and Dbt Databricks PR Ready (databricks/dbt-databricks, 380 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains E3?

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.