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.
npx skills add agentlas-ai/agentlas-desktop --skill usfiscaldatagit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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.
[](https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/usfiscaldata)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/usfiscaldata"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/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.
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/usfiscaldata"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/usfiscaldata.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00067 | $0.02012 |
| Opus 5.5 | $0.00027 | $0.00805 |
| Sonnet 5.5 | $0.00013 | $0.00402 |
| Haiku 4.5 | $0.00007 | $0.00201 |
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={ This is a copy
100% identical to usfiscaldata — 43 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.
How it starts
The opening of the file, as written. The whole thing — 189 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"
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.
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.
- 1mo ago First seen · 189 lines · 67 tokens per session scan A 610c4547e5aa
usfiscaldata is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 67 tokens to every session and 2,012 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 100% identical to usfiscaldata, differing in 43 lines, and is treated as a copy.
Other skills, from other repositories
stripe-link-wallet
Agent wallet on the Stripe Link CLI (link-cli). Connect the wallet, then buy, purchase and pay for things on the user's behalf via approved spend requests, one-time-use cards, and 402 / Machine Payment Protocol (MPP) payments.
finance-balance-sheet
Generate a Balance Sheet (Statement of Financial Position) showing assets, liabilities, and owner equity at a point in time. Entity-aware equity treatment (sole-prop / partnership / LLC / S-corp / C-corp); GAAP vs tax-basis distinction. Templates only - not financial or tax advice.
finance-1099-prep
Vendor W-9 collection workflow, 1099-NEC vs 1099-MISC vs 1099-K decision tree, contractor classification check (IRS 20-factor + ABC test embedded), TIN matching, backup withholding triggers. Templates only - not personalized tax advice.
finance-payroll-prep
Quarterly Form 941 and annual Form 940 prep checklist, state UI / WC matrix, new-hire reporting, S-corp reasonable-salary documentation (Watson, Glass Blocks, Fleischer factors), and fringe-benefit valuation. Templates only - not personalized payroll, tax, or legal advice.
finance-cashflow
Generate a cash flow statement from net income and balance sheet changes. Routes accrual filers to indirect method, cash-basis filers to direct method. Covers operating, investing, and financing activities with period-end reconciliation.
finance-pl
Generate a Profit and Loss (P&L) statement from revenue and expense inputs, with period-over-period comparison and margin analysis. Basis-of-accounting-aware (cash / accrual / modified cash); ASC 606 deferred-revenue guidance for SaaS. Ported from Anthropic's financial-statements skill.