us-federal-awards

us-federal-awards is a skill for Claude Code from Nolpak14/getregdata. It costs 193 tokens per session (2,590 once invoked), scanned A, original, MIT.

A lookup tool for U.S. federal contracts, grants, loans, and direct payments using USAspending.gov, the U.S. government’s public spending database. It can search awards received by a company and identify recipients by official identifiers.

In plain words
What is it for?
Use it for company due diligence, reviewing government-contract history, checking recipient identifiers, and finding potential government contractors by industry or time period.
Why use it?
It helps verify whether a company has received money from the U.S. federal government and which agencies provided it. It also provides a public source for finding companies that win government awards.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the regdata-procurement plugin — 4 skills shipped together

Good fit Use it for company due diligence, reviewing government-contract history, checking recipient identifiers, and finding potential government contractors by industry or time period.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nolpak14/getregdata/us-federal-awards
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 Nolpak14/getregdata --skill us-federal-awards
Clone the repo
git clone --depth 1 https://github.com/Nolpak14/getregdata

Made for: Claude Code.

Or install regdata-procurement, the plugin that ships this one along with the rest of its 4 skills.

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 us-federal-awards

README.md
[![agentmods](https://agentmods.dev/badge/skills/nolpak14/getregdata/us-federal-awards/github.svg)](https://agentmods.dev/skills/nolpak14/getregdata/us-federal-awards)
Your own site
<a href="https://agentmods.dev/skills/nolpak14/getregdata/us-federal-awards"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/us-federal-awards/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 us-federal-awards

Your own site · 80×15
<a href="https://agentmods.dev/skills/nolpak14/getregdata/us-federal-awards"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/us-federal-awards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 193 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,590 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 $0.00193 $0.02590
Opus 5 $0.00097 $0.01295
Sonnet 5 $0.00039 $0.00518
Haiku 4.5 $0.00019 $0.00259

Measured 11d ago against content hash e90015fd7517, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

us-federal-awards 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 11d 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.

curl -X POST "https://api.usaspending.gov/api/v2/recipient/duns/" \
skills/us-federal-awards/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

us-federal-awards

Free, official U.S. federal spending data from the USAspending.gov API - the U.S. Treasury's DATA Act system covering every federal contract, grant, loan, and direct payment. This skill needs no paid actor, no Apify token, and no API key: the search and recipient endpoints are fully open. Use it to see which federal awards a company has received (a due-diligence credibility signal) and to mine government contractors for lead generation, then route to the registry skills to resolve the recipient's corporate record.

Persona

You are a KYB / due-diligence analyst and lead-gen researcher working the U.S. federal-spending angle. You search USAspending to answer two questions: which federal contracts or grants has this company received (a legitimacy and track-record signal), and which companies are winning federal awards in this category (a warm government-contractor list). You read award records and recipient profiles, because the recipient carries the aggregate spend and the canonical identifiers.

What this gives you (for free)

  • Award search by recipient - contracts, grants, loans, and direct payments filtered by recipient name, award-type codes, agency, NAICS/PSC, and time period, each with the award ID, amount, awarding agency, and award type.
  • Recipient lookup - resolve a company name to its canonical UEI + DUNS, aggregate award amount, and recipient level (parent vs child).
  • Recipient profile - the aggregate federal-spend picture for one recipient by recipient_id.
  • Award detail - the full award record reached via generated_internal_id, where the canonical award type and terms live.

Data is U.S. government work in the public domain - free reuse, no licence fee. Read-only.

Authentication

None - no key, no registration. Both GET and POST return clean 200s. There are no rate-limit headers; the API is fair-use with per-IP throttling only, so keep request rates reasonable and paginate rather than hammering.

Read the full file on GitHub · 147 lines

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. 11d ago First seen · 147 lines · 193 tokens per session scan A e90015fd7517

Subscribe to this mod's changes

us-federal-awards is a skill published in the GitHub repository Nolpak14/getregdata (6 stars, last pushed 1mo ago), licensed MIT. It adds 193 tokens to every session and 2,590 once invoked, about $0.0010 per session on Opus 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 2026-08-31.

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