Agent skill

Data Fetcher

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

Fetch economic data from FRED, World Bank, BLS, OECD, and Yahoo Finance

Custom licenceAuto-check: notesDevelopment

Install Data Fetcher

skills CLI

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

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

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-fetcher --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/67-econfin-workflow-toolkit/data-fetcher .claude/skills/data-fetcher && 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 "data-fetcher" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/data-fetcher into .claude/skills/data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-fetcher", 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/67-econfin-workflow-toolkit/data-fetcher

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 data-fetcher -a codex

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

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-fetcher --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/67-econfin-workflow-toolkit/data-fetcher .agents/skills/data-fetcher && 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 "data-fetcher" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/data-fetcher into .agents/skills/data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-fetcher", 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 data-fetcher -a cursor

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

GitHub CLI

$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills data-fetcher --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/67-econfin-workflow-toolkit/data-fetcher .cursor/skills/data-fetcher && 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 "data-fetcher" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/data-fetcher into .cursor/skills/data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-fetcher", 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/67-econfin-workflow-toolkit/data-fetcher

--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 data-fetcher -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 data-fetcher --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/67-econfin-workflow-toolkit/data-fetcher .gemini/skills/data-fetcher && 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 "data-fetcher" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/data-fetcher into .gemini/skills/data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-fetcher", 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 data-fetcher

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 data-fetcher -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/67-econfin-workflow-toolkit/data-fetcher .github/skills/data-fetcher && 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 "data-fetcher" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/data-fetcher into .github/skills/data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-fetcher", 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 data-fetcher -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 data-fetcher --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/67-econfin-workflow-toolkit/data-fetcher .opencode/skills/data-fetcher && 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 "data-fetcher" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/67-econfin-workflow-toolkit/data-fetcher into .opencode/skills/data-fetcher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-fetcher", 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: data-fetcher
GitHub stars: 4.5k
Token cost: ~6.1k tokens
SKILL.md length: 641 words
Files: 1
Skills in repo: 383
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: Custom licence

At a glance

Fetch economic data from FRED, World Bank, BLS, OECD, and Yahoo Finance

Works in 4 steps: API Key Setup Check (Run Before Anything… → Identify Data Requirements → Select Appropriate API → …
Development work in your project
SKILL.md covers Purpose, When to Use, Instructions and Example Output, plus 8 more sections
Calls pip; reaches fred.stlouisfed.org and bls.gov; needs FRED_API_KEY and BLS_API_KEY

What it does

Data Fetcher is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Fetch economic data from FRED, World Bank, BLS, OECD, and Yahoo Finance

Its SKILL.md is about 6.1k 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 Development. It works with yfinance and 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

Development work in your project

Example prompts

“/data-fetcher”

Requirements

Python 3
A credential in FRED_API_KEY
A credential in BLS_API_KEY

Workflow steps

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

API Key Setup Check (Run Before Anything Else)
Identify Data Requirements
Select Appropriate API
Generate Clean Code

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
Shell commands in SKILL.md call:
- pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- fred.stlouisfed.org
- bls.gov
- data-explorer.oecd.org
- api.bls.gov
- dataservices.imf.org
- sdmx.oecd.org
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- FRED_API_KEY
- BLS_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Data Fetcher loads about 6.1k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 641 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~21
When it runs · the whole SKILL.md, loaded when a task matches: ~6.1k

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.

NoteMentions a .env fileSKILL.md:25

1. Read the file `[plugin_root]/.env` (same directory as `.mcp.json`).

NoteMentions a .env fileSKILL.md:30

, then append `FRED_API_KEY=<value>` to `.env`.

NoteMentions a .env fileSKILL.md:35

**If `.env` exists and keys are already set:** load them silently and inject them into all generated code via `python-do

NoteMentions a .env fileSKILL.md:38

searches CWD and parent directories for .env

NoteMentions a .env fileSKILL.md:41

> The `.env` file stores keys locally and is never committed to version control. Generated scripts always read keys from

NoteMentions a .env fileSKILL.md:759

Keys are stored in `[plugin_root]/.env` and loaded automatically via Step 0. Never hardcode them in scripts.

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 641 words (~6,120 tokens).

“This skill helps economists fetch data from major economic data APIs including FRED (Federal Reserve Economic Data), World Bank, BLS (Bureau of Labor Statistics), OECD, and Yahoo Finance. It generates clean, documented Python code with proper error handling.”

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

name: data-fetcher

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/67-econfin-workflow-toolkit/data-fetcher of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Data Fetcher 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 Fetcher compared with similar skills
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Data Fetcher this skillbrycewang-stanford/Auto-Empirical-Research-Skills	4.5k	—	~6.1k	Automated safety check: Notes	Custom licence	4 days ago
Dependencies Managementmaread99/market_prices	106	—	~2.4k	Automated safety check: Notes	MIT	24 days ago
Writing Testsmaread99/market_prices	106	—	~315	Automated safety check: Pass	MIT	24 days ago
Universal Data Loaderfranklee16/academic-research-skills	223	—	~738	Automated safety check: Pass	None	21 days ago
Code Review ChecklistshareAI-lab/learn-claude-code	78k	5 repos	~1.1k	Automated safety check: Pass	MIT	11 days ago
Minimizing Ty Ecosystem Changesastral-sh/ruff	50k	—	~4.6k	Automated safety check: Pass	MIT	today

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Works with

Questions about Data Fetcher

What does Data Fetcher do?

Fetch economic data from FRED, World Bank, BLS, OECD, and Yahoo Finance. Data Fetcher is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

When should I use Data Fetcher?

Data Fetcher fits situations like: development work in your project.

How do I install Data Fetcher in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-fetcher -a claude-code`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/data-fetcher in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/data-fetcher in your project. Claude Code loads it when a task matches its description.

How do I install Data Fetcher in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill data-fetcher -a codex`. Or copy the skill folder (skills/67-econfin-workflow-toolkit/data-fetcher in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/data-fetcher in your project. Codex loads it when a task matches its description.

Can I use Data Fetcher 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-fetcher -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-fetcher, .gemini/skills/data-fetcher, .github/skills/data-fetcher and .opencode/skills/data-fetcher in your project.

What does Data Fetcher need to run?

Going by SKILL.md and its folder, Data Fetcher needs the command-line tools its instructions call (pip) and credentials named FRED_API_KEY and BLS_API_KEY. Our summary lists: Python 3; A credential in FRED_API_KEY; A credential in BLS_API_KEY.

Does Data Fetcher access the network?

SKILL.md names 6 domains. In commands or code: fred.stlouisfed.org, bls.gov, data-explorer.oecd.org, api.bls.gov, dataservices.imf.org and sdmx.oecd.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Data Fetcher safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Data Fetcher use?

Data Fetcher 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 Fetcher use?

About 6.1k tokens (SKILL.md is roughly 24k 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 Fetcher?

Skills that share tags, products or a category with Data Fetcher: Dependencies Management (maread99/market_prices, 106 stars), Writing Tests (maread99/market_prices, 106 stars), Universal Data Loader (franklee16/academic-research-skills, 223 stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Fetcher?

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 Data Fetcher

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 Data Fetcher