fred-economic-data

fred-economic-data is a skill for Claude Code, Codex from x-cmd/skill. It costs 75 tokens per session (2,884 once invoked), scanned A, a copy of fred-economic-data, Apache-2.0.

An interface to FRED, the Federal Reserve Bank of St. Louis database of economic time series such as GDP, unemployment, inflation, interest rates, and housing data. It can retrieve historical, revised, scheduled, and regional series.

In plain words
What is it for?
Use it for macroeconomic analysis, financial research, policy studies, forecasting, and academic work.
Why use it?
It avoids manually finding, downloading, and transforming economic figures from many sources. It also helps track how published values changed over time.

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.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/x-cmd/skill/fred-economic-data
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 x-cmd/skill --skill fred-economic-data
Clone the repo
git clone --depth 1 https://github.com/x-cmd/skill

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/x-cmd/skill/fred-economic-data/github.svg)](https://agentmods.dev/skills/x-cmd/skill/fred-economic-data)
Your own site
<a href="https://agentmods.dev/skills/x-cmd/skill/fred-economic-data"><img src="https://agentmods.dev/badge/skills/x-cmd/skill/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/x-cmd/skill/fred-economic-data"><img src="https://agentmods.dev/badge/skills/x-cmd/skill/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 2,884 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 94% 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 $0.02884
Opus 5.5 $0.00030 $0.01154
Sonnet 5.5 $0.00015 $0.00577
Haiku 4.5 $0.00007 $0.00288

Measured 1mo ago against content hash 8b0d1e8a16af, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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

94% identical to fred-economic-data — 10 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.

data/k-dense-ai/fred-economic-data/SKILL.md · 434 lines

How it starts

The opening of the file, as written. The whole thing — 434 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 · 434 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. 1mo ago First seen · 434 lines · 75 tokens per session scan A 8b0d1e8a16af

Subscribe to this mod's changes

fred-economic-data is a skill published in the GitHub repository x-cmd/skill (26 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 75 tokens to every session and 2,884 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 94% identical to fred-economic-data, differing in 10 lines, and is treated as a copy.

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