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usfiscaldata

usfiscaldata is a skill for Claude Code from dralkh/seerai. It costs 67 tokens per session (1,756 once invoked), scanned A, original, MIT.

A way to query the U.S. Treasury's public REST API for federal financial data. The API is a web service that programs can call to retrieve information such as national debt, spending, interest rates, and exchange rates.

In plain words
What is it for?
Use it to fetch Treasury datasets for financial analysis, reports, and charts, often loading the results into Python or spreadsheets.
Why use it?
It removes the need to collect these government figures manually or manage an API key.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 98repo +4 1mo ago A scan 67 tokens original MIT

Good fit Use it to fetch Treasury datasets for financial analysis, reports, and charts, often loading the results into Python or spreadsheets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dralkh/seerai/usfiscaldata
View source ↗ dralkh/seerai
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 dralkh/seerai --skill usfiscaldata
Clone the repo
git clone --depth 1 https://github.com/dralkh/seerai

Made for: Claude Code.

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 usfiscaldata

README.md
[![agentmods](https://agentmods.dev/badge/skills/dralkh/seerai/usfiscaldata/github.svg)](https://agentmods.dev/skills/dralkh/seerai/usfiscaldata)
Your own site
<a href="https://agentmods.dev/skills/dralkh/seerai/usfiscaldata"><img src="https://agentmods.dev/badge/skills/dralkh/seerai/usfiscaldata/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 usfiscaldata

Your own site · 80×15
<a href="https://agentmods.dev/skills/dralkh/seerai/usfiscaldata"><img src="https://agentmods.dev/badge/skills/dralkh/seerai/usfiscaldata.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,756 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 original No closer match found 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 $0.00067 $0.01756
Opus 5.5 $0.00027 $0.00702
Sonnet 5.5 $0.00013 $0.00351
Haiku 4.5 $0.00007 $0.00176

Measured 1mo ago against content hash 7d79e29c11cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

usfiscaldata 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.

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.

resp = requests.get(f"{BASE_URL}/v2/accounting/od/debt_to_penny", params={
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

skills/usfiscaldata/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

U.S. Treasury Fiscal Data API

Free, open REST API from the U.S. Department of the Treasury for federal financial data. No API key or registration required.

Base URL: https://api.fiscaldata.treasury.gov/services/api/fiscal_service

Browse 54 datasets and 179 data tables via the dataset search. Verify endpoint paths on each dataset's API Quick Guide — paths change over time.

Installation

uv pip install requests pandas

Quick Start

import requests
import pandas as pd

BASE_URL = "https://api.fiscaldata.treasury.gov/services/api/fiscal_service"

# Get the current national debt (Debt to the Penny)
resp = requests.get(f"{BASE_URL}/v2/accounting/od/debt_to_penny", params={
    "sort": "-record_date",
    "page[size]": 1
})
data = resp.json()["data"][0]
print(f"Total public debt as of {data['record_date']}: ${float(data['tot_pub_debt_out_amt']):,.0f}")

# Get Treasury exchange rates for recent quarters
resp = requests.get(f"{BASE_URL}/v1/accounting/od/rates_of_exchange", params={
    "fields": "country_currency_desc,exchange_rate,record_date",
    "filter": "record_date:gte:2024-01-01",
    "sort": "-record_date",
    "page[size]": 100
})
df = pd.DataFrame(resp.json()["data"])

Authentication

None required. The API is fully open and free.

Core Parameters

Parameter Example Description
fields= fields=record_date,tot_pub_debt_out_amt Select specific columns
filter= filter=record_date:gte:2024-01-01 Filter records
sort= sort=-record_date Sort (prefix - for descending)
format= format=json Output format: json, csv, xml
page[size]= page[size]=100 Records per page (default 100)
page[number]= page[number]=2 Page index (starts at 1)

Filter operators: lt, lte, gt, gte, eq, in

# Multiple filters separated by comma
"filter=country_currency_desc:in:(Canada-Dollar,Mexico-Peso),record_date:gte:2024-01-01"

Read the full file on GitHub · 170 lines

Files

What ships with it

8 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 · 170 lines · 67 tokens per session scan A 7d79e29c11cf

Subscribe to this mod's changes

usfiscaldata is a skill published in the GitHub repository dralkh/seerai (98 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 1,756 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-24.

Analytics and metricsFinance and fintechResearchZoteroagentaimcpzotero-plugin
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usfiscaldata compared with skills from other repositories

usfiscaldata next to 6 skills from other repositories
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usfiscaldatadralkh/seeraiSkill981mo agoMITA67Claude Code
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