fred-economic-data

fred-economic-data is a skill for Claude Code, Codex from foryourhealth111-pixel/Vibe-Skills. It costs 75 tokens per session (2,724 once invoked), scanned A, a copy of fred-economic-data, Apache-2.0.

A way to retrieve economic time-series data from FRED, a Federal Reserve Bank of St. Louis database covering measures such as GDP, unemployment, inflation, and interest rates.

In plain words
What is it for?
Use it for macroeconomic analysis, financial research, policy studies, forecasting, and academic work involving economic data.
Why use it?
It removes the need to find, download, and transform these economic datasets manually, while also helping track historical revisions and release dates.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for macroeconomic analysis, financial research, policy studies, forecasting, and academic work involving economic data.

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Install with agentmods
npx agentmods add skills/foryourhealth111-pixel/vibe-skills/fred-economic-data
About the project

Vibe-Skills is a collection and routing system that helps AI agents discover, select, and coordinate specialized skills for completing tasks. It is intended for agents that need to organize workflows across many installed capabilities. The catalogue entries are skills and an agent belonging to this system.

foryourhealth111-pixel/Vibe-Skills · 3,252 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add foryourhealth111-pixel/Vibe-Skills --skill fred-economic-data
Clone the repo
git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fred-economic-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/fred-economic-data/github.svg)](https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/fred-economic-data)
Your own site
<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/fred-economic-data"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/fred-economic-data/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fred-economic-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/fred-economic-data"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/fred-economic-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,724 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.02724
Opus 5 $0.00037 $0.01362
Sonnet 5 $0.00015 $0.00545
Haiku 4.5 $0.00007 $0.00272

Measured 9d ago against content hash d40b660dc8a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fred-economic-data scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/fred_examples.py, scripts/fred_query.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

response = requests.get(
Origin

This is a copy

98% identical to fred-economic-data — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

bundled/skills/fred-economic-data/SKILL.md · 431 lines

How it starts

The opening of the file, as written. The whole thing — 431 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FRED Economic Data Access

Overview

Access comprehensive economic data through FRED (Federal Reserve Economic Data), a database maintained by the Federal Reserve Bank of St. Louis containing over 800,000 economic time series from over 100 sources.

Key capabilities:

  • Query economic time series data (GDP, unemployment, inflation, interest rates)
  • Search and discover series by keywords, tags, and categories
  • Access historical data and vintage (revision) data via ALFRED
  • Retrieve release schedules and data publication dates
  • Map regional economic data with GeoFRED
  • Apply data transformations (percent change, log, etc.)

API Key Setup

Required: All FRED API requests require an API key.

  1. Create an account at https://fredaccount.stlouisfed.org
  2. Log in and request an API key through the account portal
  3. Set as environment variable:
export FRED_API_KEY="your_32_character_key_here"

Or in Python:

import os
os.environ["FRED_API_KEY"] = "your_key_here"

Quick Start

Using the FREDQuery Class

from scripts.fred_query import FREDQuery

# Initialize with API key
fred = FREDQuery(api_key="YOUR_KEY")  # or uses FRED_API_KEY env var

# Get GDP data
gdp = fred.get_series("GDP")
print(f"Latest GDP: {gdp['observations'][-1]}")

# Get unemployment rate observations
unemployment = fred.get_observations("UNRATE", limit=12)
for obs in unemployment["observations"]:
    print(f"{obs['date']}: {obs['value']}%")

# Search for inflation series
inflation_series = fred.search_series("consumer price index")
for s in inflation_series["seriess"][:5]:
    print(f"{s['id']}: {s['title']}")

Direct API Calls

import requests
import os

API_KEY = os.environ.get("FRED_API_KEY")
BASE_URL = "https://api.stlouisfed.org/fred"

# Get series observations
response = requests.get(
    f"{BASE_URL}/series/observations",
    params={
        "api_key": API_KEY,
        "series_id": "GDP",
        "file_type": "json"
    }
)
data = response.json()

Read the full file on GitHub · 431 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 431 lines · 75 tokens per session scan A d40b660dc8a2

Subscribe to this mod's changes

fred-economic-data is a skill published in the GitHub repository foryourhealth111-pixel/Vibe-Skills (3,252 stars, last pushed 12d ago), licensed Apache-2.0. It adds 75 tokens to every session and 2,724 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 98% identical to fred-economic-data, differing in 3 lines, and is treated as a copy.

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