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 Nolpak14/getregdata --skill us-federal-awardsgit clone --depth 1 https://github.com/Nolpak14/getregdataWrote 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/nolpak14/getregdata/us-federal-awards)<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.
<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>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 | $0.00193 | $0.02590 |
| Opus 5 | $0.00097 | $0.01295 |
| Sonnet 5 | $0.00039 | $0.00518 |
| Haiku 4.5 | $0.00019 | $0.00259 |
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/" \ 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.
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.
- 11d ago First seen · 147 lines · 193 tokens per session scan A e90015fd7517
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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