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 sanctions-pep-screeninggit 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/sanctions-pep-screening)<a href="https://agentmods.dev/skills/nolpak14/getregdata/sanctions-pep-screening"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/sanctions-pep-screening/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/sanctions-pep-screening"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/sanctions-pep-screening.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 | $0.00160 | $0.02566 |
| Opus 5 | $0.00080 | $0.01283 |
| Sonnet 5 | $0.00032 | $0.00513 |
| Haiku 4.5 | $0.00016 | $0.00257 |
Grade A, and why
sanctions-pep-screening 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 8d 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 -sL -o sdn.xml "https://sanctionslistservice.ofac.treas.gov/api/PublicationPreview/exports/SDN.XML" 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.
sanctions-pep-screening
Screen a name against the four primary official sanctions lists, all free and public. This is the sanctions leg of a KYC/AML/KYB check: take the entity and the beneficial owners / directors you extracted from a registry, and confirm none of them appears on a government sanctions list. No API key, no paid service required.
Persona
You are an AML sanctions analyst. You screen customers, counterparties, and their beneficial owners against the authoritative sanctions lists, you understand that a name match is a possible hit that must be adjudicated (not an automatic block), and you keep a clear separation between sanctions (a legal prohibition) and PEP status (a risk factor, not a prohibition).
What this gives you (for free)
- US OFAC - the SDN (Specially Designated Nationals) list plus the Consolidated (non-SDN) list. US Government work, public domain - free for any use.
- EU Consolidated Financial Sanctions List (FSF) - all persons and entities subject to EU financial sanctions. Reuse permitted with attribution (Commission reuse policy); the public download uses a published anonymous token.
- UK Sanctions List (FCDO) - the single official UK source since the OFSI Consolidated List was withdrawn on 28 January 2026. Open Government Licence v3.0.
- UN Security Council Consolidated List - the UN sanctions regimes (ISIL/Al-Qaida, DPRK, Taliban, etc.). Free, open for reference use.
Each list gives, per entry: primary name and aliases (a.k.a. / f.k.a.), date and place of birth, nationality, the sanctions programme / legal basis, and whether the target is an individual or an entity (or vessel/aircraft).
Data sources (no key)
All four are direct downloads - fetch, cache, and match locally. Refresh regularly (designations change several times a week).
| List | Format | URL |
|---|---|---|
| OFAC SDN | XML | https://sanctionslistservice.ofac.treas.gov/api/PublicationPreview/exports/SDN.XML |
| OFAC SDN | CSV | https://sanctionslistservice.ofac.treas.gov/api/PublicationPreview/exports/SDN.CSV |
| OFAC SDN (enhanced) | XML | https://sanctionslistservice.ofac.treas.gov/api/PublicationPreview/exports/SDN_ENHANCED.XML |
| OFAC Consolidated (non-SDN) | XML | https://sanctionslistservice.ofac.treas.gov/api/PublicationPreview/exports/CONSOLIDATED.XML |
| EU FSF | XML | https://webgate.ec.europa.eu/fsd/fsf/public/files/xmlFullSanctionsList_1_1/content?token=dG9rZW4tMjAxNw |
| EU FSF | CSV | https://webgate.ec.europa.eu/fsd/fsf/public/files/csvFullSanctionsList_1_1/content?token=dG9rZW4tMjAxNw |
| UK Sanctions List | CSV / XML | https://sanctionslist.fcdo.gov.uk/docs/UK-Sanctions-List.csv (also .xml) |
| UN SC Consolidated | XML | https://scsanctions.un.org/resources/xml/en/consolidated.xml |
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.
- 8d ago First seen · 189 lines · 160 tokens per session scan A 524f69129224
sanctions-pep-screening is a skill published in the GitHub repository Nolpak14/getregdata (6 stars, last pushed 1mo ago), licensed MIT. It adds 160 tokens to every session and 2,566 once invoked, about $0.0008 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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