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 cliwant/mcp-sam-gov --skill sam-govgit clone --depth 1 https://github.com/cliwant/mcp-sam-govWrote 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/cliwant/mcp-sam-gov/sam-gov)<a href="https://agentmods.dev/skills/cliwant/mcp-sam-gov/sam-gov"><img src="https://agentmods.dev/badge/skills/cliwant/mcp-sam-gov/sam-gov/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/cliwant/mcp-sam-gov/sam-gov"><img src="https://agentmods.dev/badge/skills/cliwant/mcp-sam-gov/sam-gov.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 | $0.00295 | $0.09894 |
| Opus 5 | $0.00148 | $0.04947 |
| Sonnet 5 | $0.00059 | $0.01979 |
| Haiku 4.5 | $0.00030 | $0.00989 |
Grade A, and why
sam-gov scanned grade A with 0 findings 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SAM.gov federal-data skill — 150 tools across 52 sources
This skill teaches Claude how to use the sam-gov MCP server (150 tools wrapped from @cliwant/mcp-sam-gov) to answer the full surface of US federal contracting / spending / regulation / vetting / market questions end-to-end — from discovering (and shaping) an opportunity, to reading the actual RFP/SOW documents, running a FAR/DFARS compliance matrix, vetting a firm (sanctions, exclusions, audits, bank health, EPA), sizing a market (establishments + wages + regional GDP), pricing the bid against statutory wage floors, and pulling macro context for escalation.
Setup: the
sam-govMCP server must be reachable./plugin install cliwant/mcp-sam-govregisters it automatically; otherwise see the repo README. Host prefixing: Claude Code exposes tools asmcp__sam-gov__<tool>; bare MCP hosts use just<tool>. Use whichever your host gives you.
Tool inventory — 150 tools, keyless-first
Keyless-first: 48 of 52 sources need no key. Only 4 sources require a free key (marked 🔑 below): Census CBP (census_business_patterns), FRED (fred_search_series, fred_series_observations), BEA (bea_regional_data), and DOL's data endpoint (dol_get_dataset; DOL's catalog is keyless). Those 4 tools throw an honest config error without a key. A handful of others take an optional free key for higher limits (see the Keys section). The server is the only source of truth — never invent notice IDs, officer names, award amounts, NAICS codes, or regulation citations.
Opportunities & solicitations — SAM.gov + Grants.gov (10)
sam_search_opportunities— search active SAM.gov contracting opportunities (filters: query, ncode/NAICS, organizationName, state, setAside, limit).sam_search_shaping— pre-solicitation radar: Sources Sought / Presol / Special Notices before the RFP exists (keyless rows null naics/setAside/place — get those viasam_get_opportunity).sam_get_opportunity— full detail for ONE notice by 32-char hex noticeId (POCs, deadline,attachments[], body). Call BEFORE bid/no-bid or compliance work.sam_fetch_description— full SOW/RFP body as plain text (when detail gave a description URL not inline body).sam_fetch_attachment_text— READ the attachment (RFP/SOW/Q&A/wage PDF+DOCX+HTML) by itsattachments[].url. A scanned/image-only or unreadable doc returnstext:null+ disclosed reason (honest, not a bug).sam_attachment_url— build the public download URL for an attachment resourceId (303 → signed S3).sam_lookup_organization— federal-organization id → canonicalfullParentPathName.sam_lookup_notice_fields— batch-fill nulled naics/setAside/PoP/deadline for 1–100 noticeIds from the opt-in GSA daily CSV. OFF by default (returnsenabled:falseuntilSAM_GOV_ENABLE_CSV=1); snapshot can lag ~24h.grants_search— Grants.gov federal grant opportunities (financial assistance, distinct from contracts).grants_get_opportunity— full grant detail (description, dates, award ceiling, applicant types, CFDA).
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.
- 10d ago First seen · 376 lines · 295 tokens per session scan A a2267d76fc6c
sam-gov is a skill published in the GitHub repository cliwant/mcp-sam-gov (6 stars, last pushed 2d ago), licensed MIT. It adds 295 tokens to every session and 9,894 once invoked, about $0.0015 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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