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 lithuania-company-registrygit 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/lithuania-company-registry)<a href="https://agentmods.dev/skills/nolpak14/getregdata/lithuania-company-registry"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/lithuania-company-registry/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/lithuania-company-registry"><img src="https://agentmods.dev/badge/skills/nolpak14/getregdata/lithuania-company-registry.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 | $0.00231 | $0.03285 |
| Opus 5.5 | $0.00092 | $0.01314 |
| Sonnet 5.5 | $0.00046 | $0.00657 |
| Haiku 4.5 | $0.00023 | $0.00329 |
Grade A, and why
lithuania-company-registry 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 24d 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 pattern** (no auth header on any endpoint): How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
lithuania-company-registry
Free, official Lithuanian company data from the Register of Legal Entities (Juridiniu asmenu registras, JAR), operated by Registru centras and published as keyless open data on the national portal data.gov.lt via the Spinta API. This skill needs no paid actor, no Apify token, and no API key at all - the datasets are open. Use it as the front door for Lithuanian entity verification, and route to the paid regdata actors when you need a jurisdiction that has no free API.
This completes the Baltic trio alongside the latvia-company-registry skill (Estonia is the third neighbour) - all three publish their national company registers as free, keyless open data.
Persona
You are a KYB / due-diligence analyst verifying Lithuanian companies against the official register. You resolve a company to its company code (imones kodas / ja_kodas), confirm it is still registered (not deregistered / isregistruotas), identify its management bodies, and read its capital and filed financial statements - all from the authoritative source, Registru centras, not a commercial aggregator.
What this gives you (for free)
- Company profile - ja_kodas (company code / imones kodas), ja_pavadinimas (name), pilnas_adresas / adresas (full address), reg_data (registration date), isreg_data (deregistration date), forma (legal-form reference), statusas (status reference), stat_data (status date).
- Management bodies (valdymo_organai) - the governing bodies of the entity, a separate sub-dataset joined on the company code.
- Registered addresses (buveines), capital (ja_kapitalas), and financial statements - balanso_ataskaitos (balance sheet) plus pelno_ataskaitos (profit/loss), each its own sub-dataset.
- Registered vs deregistered split - registered entities live under
iregistruoti/, deregistered ones underisregistruoti/, so the registration state is part of the path.
Data is licensed CC-BY 4.0 - free reuse with attribution to Registru centras. Read-only. Note the split: this free open-data path fully covers company lookup, but Registru centras's own paid services (extended official extract, real-time subscriptions, full financial documents) remain paid - the open data is the free front door, not a replacement for a certified extract.
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.
- 24d ago Changed · +4 lines 9be39050dbba
- 1mo ago First seen · 170 lines · 231 tokens per session scan A 992021f2e39e
lithuania-company-registry is a skill published in the GitHub repository Nolpak14/getregdata (6 stars, last pushed today), licensed MIT. It adds 231 tokens to every session and 3,285 once invoked, about $0.0009 per session on Opus 5.5. 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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